We are expanding our development teams and although we don’t care much about titles, we call this role Senior Data Scientist.

As an Data Scientist Engineer, you will be part our international AI/ML team developing tailored solutions to satisfy our client's needs. We are looking for a passionate engineer with background in machine/deep learning. You will be training, and deploying models, putting research into production, among other tasks.

You will be part of a multidisciplinary team, taking care of the software engineering challenges associated with AI. You will take part in challenging projects using cutting edge technologies. You will work in an international environment with the possibility of working from home or from our offices.

Our vision is to build multidisciplinary teams which directly manage projects in an AGILE way to find and implement the best solutions ????

You will be responsible for:

• Participating in the design and development of AI solutions for challenging projects.
• Building production level ML/AI solutions, with solid software engineering and ML/AI principles.
• MLOps Automated deployment and monitoring (models and infrastructure).
• Data analysis (data cleaning, variable transformation, etc.).
• Developing and training ML models.
• Putting AI models into production.
• This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.

• More than 5 years of experience in AI / Machine Learning / Computer Science.

• Can build an “end-to-end software product” which has machine learning component.
• Knowledges in applied computer vision.
• Strong skills in Python and reasonable SQL understanding.
• Experience in building ML/deep learning pipelines and models.
• Experience in implementing production ready ML models using current ML/Deep learning techniques.
• MLOps experience is very valuable for the team
• Experience in projects with NLP is neccesary
• ENGLISH IS MANDATORY

Very nice to have:

• Experience with Deep learning frameworks like Tensorflow, PyTorch etc.
• Experience with Big Data projects and tools. E
• Experience writing RESTful web services.
• Experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.)
• Experience with source code version control tools.
• Experience working with Azure or other cloud-based solution.
• Azure Machine Learning: Experience with Azure Machine Learning is a plus, although not essential.
• Deep learning and neural networks.
• Expertise in deep learning and high-level neural networks.
• Experience with one or more of the following: Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar.
• TensorFlow Lite, TensorFlow serving y grpc.
• Unit testing knowledge.
• Solid object-oriented programming skills.

What do we offer?

• Salary determined by the market and your experience ????
• Flexible schedule 35 Hours / Week ????
• Fully remote work (optional) ????
• Flexible compensation (restaurant, transport, and childcare) ✌
• Medical and dental insurance (completely free of charge for the employee) ????
• Individual budget for training and free Microsoft certifications ????
• English lessons (1 hour/week) ????
• Birthday day off ????????
• Monthly bonus for electricity and Internet expenses at home ????
• Discount on gym plan and sports activities ????
• Plain Camp (annual team-building event) ????
• ➕ The pleasure of always working with the latest technological tools!

With all this information you already know a lot about us. Will you let us know you better?

The selection process? Simple, just 3 steps: a call and 2 interviews with the team ????

And you may wonder… Who is Plain Concepts?

Plain Concepts is made up of 400 people who are passionate about technology, driven by the change towards finding the best solutions for our customers and projects.

Throughout the years, the company has grown thanks to the great technical potential we have and relying on our craziest and most innovative ideas. We currently have over 14 offices in 6 different countries. Our main goal is to keep growing as a team, developing the best and most advanced projects in the market.

We truly believe in the importance of bringing together people from different backgrounds and countries to build the best team, with a diverse and inclusive culture.

What do we do at Plain Concepts?

We are characterized for having a DNA 100% technical. We develop customized projects from scratch, technical consultancy, and training.

• We don’t do bodyshopping or outsourcing
• Our teams are multidisciplinary, and the organizational structure is flat and horizontal
• We are very committed to AGILE values
• Sharing is caring: We help, support, and encourage each other to expand our knowledge internally and also towards the community (with conferences, events, talks…)
• We always look for creativity and innovation, even when the idea might seem crazy to others
• Transparency is key to any relationship

To know more about us, take a look in our website:

➡ https://www.plainconcepts.com/case-studies/

At Plain Concepts, we certainly seek to provide equal opportunities. We want diverse applicants regardless of race, colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.

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At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their money. And now, the team is growing!

About the Role

We are looking for a talented and passionate Machine Learning Engineer to join our team and build the next generation of our real-time, data-driven applications. As a Machine Learning Engineer, you will provision and expand the infrastructure of ML and AI at Plum, whilst collaborating closely with Data Engineers and Data Scientists, who are currently managing numerous live production ML systems and delivering on a substantial roadmap. This traverses areas such as document processing automation, transaction fraud detection, marketing spend optimisation and customer retention.

What will you do

• Collaborate with data scientists, data analysts and data engineers on production systems and applications focused on traditional ML, generative AI and MLOps
• Transition ML models from experimental prototypes to production deployments that can handle high volumes of data in real-time, enabling us to make rapid decisions and provide immediate value to our users
• Stay engaged with the latest advancements in data science and fintech, particularly in the areas of leveraging ML techniques to deliver business impact.
• Contribute to the continuous development of our AI and ML Ops infrastructure, covering areas such as model deployment, continuous retraining, feature store, performance monitoring and drift detection.
• Exercise software engineering best practices in the codebase, like version control and continuous integration, with an aim to ensure our models are not just effective, but also thoroughly tested, well-documented, and regularly maintained.
• Promote a culture of mutual learning and growth, where teaching and learning from colleagues is encouraged. We highly value knowledge sharing and ongoing learning.

Who you are????

• Strong foundations in data structures, data modelling (e.g. Airflow and dbt), software architecture, Python, SQL, machine learning frameworks (e.g. Keras, PyTorch), and libraries (e.g. scikit-learn).
• Proven experience in developing, maintaining and deploying machine learning models for real-time applications, with a strong understanding of streaming data processing technologies and real-time inference frameworks in production environments
• Strong understanding of ML applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting, experiment trackers (e.g. mlFlow) & orchestrators (Airflow, Kubeflow)
• Experience in building and optimizing scalable machine learning infrastructure in a cloud setup. We use Google Cloud Platform and leverage services like BigQuery, Vertex AI, and Cloud Storage.
• You have a solid understanding of how to measure the performance of ML models
• Strong problem-solving skills, a critical and creative mindset, and a team-oriented approach with a focus on mentorship and knowledge sharing.

Nice to Have

• Deep knowledge of math, probability, statistics and algorithms
• Experienced with Large Language Models, Generative AI, Langchain, Transformer models
• Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes
• Experience provisioning infrastructure components using Terraform, including virtual machines, storage, databases, and other necessary services

Plum's Perks

• We're all in this together! Own part of the company through stock options ????
• Annual training budget
• Private Health & Life Insurance
• Free Plum Premium subscription (normally £9.99 a month)
• Free parking slots
• 25 days holiday a year, excluding public holidays
• Employee referral scheme up to €4000
• Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in central Athens for optimal collaboration
• 45 days work from anywhere
• Team breakfast on Tuesdays and team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee
• 1 day paid leave for volunteering, supporting you giving back to society
• 2 weeks paid sabbatical after four years of service
• Team trip to secret destinations once a year ✈️
• Great office location in the heart of Athens (Syntagma square), with an amazing view!
• A vibe that’s ????????????

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam ????

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

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At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their mone. And now, the team is growing!

About the Role

We are looking for a talented and passionate Machine Learning Engineer to join our team and build the next generation of our real-time, data-driven applications. As a Machine Learning Engineer, you will provision and expand the infrastructure of ML and AI at Plum, whilst collaborating closely with Data Engineers and Data Scientists, who are currently managing numerous live production ML systems and delivering on a substantial roadmap. This traverses areas such as document processing automation, transaction fraud detection, marketing spend optimisation and customer retention.

What will you do

• Collaborate with data scientists, data analysts and data engineers on production systems and applications focused on traditional ML, generative AI and MLOps
• Transition ML models from experimental prototypes to production deployments that can handle high volumes of data in real-time, enabling us to make rapid decisions and provide immediate value to our users
• Stay engaged with the latest advancements in data science and fintech, particularly in the areas of leveraging ML techniques to deliver business impact.
• Contribute to the continuous development of our AI and ML Ops infrastructure, covering areas such as model deployment, continuous retraining, feature store, performance monitoring and drift detection.
• Exercise software engineering best practices in the codebase, like version control and continuous integration, with an aim to ensure our models are not just effective, but also thoroughly tested, well-documented, and regularly maintained.
• Promote a culture of mutual learning and growth, where teaching and learning from colleagues is encouraged. We highly value knowledge sharing and ongoing learning.

Who you are????

• Strong foundations in data structures, data modelling (e.g. Airflow and dbt), software architecture, Python, SQL, machine learning frameworks (e.g. Keras, PyTorch), and libraries (e.g. scikit-learn).
• Proven experience in developing, maintaining and deploying machine learning models for real-time applications, with a strong understanding of streaming data processing technologies and real-time inference frameworks in production environments
• Strong understanding of ML applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting, experiment trackers (e.g. mlFlow) & orchestrators (Airflow, Kubeflow)
• Experience in building and optimizing scalable machine learning infrastructure in a cloud setup. We use Google Cloud Platform and leverage services like BigQuery, Vertex AI, and Cloud Storage.
• You have a solid understanding of how to measure the performance of ML models
• Strong problem-solving skills, a critical and creative mindset, and a team-oriented approach with a focus on mentorship and knowledge sharing.

Nice to Have

• Deep knowledge of math, probability, statistics and algorithms
• Experienced with Large Language Models, Generative AI, Langchain, Transformer models
• Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes
• Experience provisioning infrastructure components using Terraform, including virtual machines, storage, databases, and other necessary services

Plum's Perks

• We're all in this together! Own part of the company through stock options ????
• Annual training budget
• Private Life Insurance - Ethniki Asfalistiki
• Provident Fund - Ancoria Bank
• Free Plum Premium subscription (normally £9.99 a month).
• Free parking slots
• 25 days holiday a year, excluding public holidays
• Employee referral scheme up to €4000
• Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in Nicosia for optimal collaboration.
• 45 days work from anywhere
• Team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee.
• 1 day paid leave for volunteering, supporting you giving back to society.
• 2 weeks paid sabbatical after four years of service.
• Team trip to secret destinations once a year ✈️
• A vibe that’s ????????????

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam ????

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.Plum's Perks

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Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped 2.5 million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

We are looking for a Senior Software Engineer to join our Data & ML Platform team. 
You’ll join a platform team focused on two major internal systems that support many internal Oura users and several production features:

• Oura’s Datalake
• Cloud MLOps systems

Concretely, you will be:

• Building, operating and improving systems to move, process and store large amounts of data (Terabyte-Petabyte scale) leveraging tools such as: AWS Kinesis, S3, Spark / Glue, Athena, dbt, iceberg, snowflake, docker, workflow engines, and more.
• Building components that support the handling of datasets, training, testing and release of new on-device and cloud-based ML models.
• Independently collaborating with different stakeholders including Data Scientists, Testing, Firmware, Hardware to define and implement improvements and new functionality.
• Supporting internal datalake consumers in their day-to-day work.
• Writing python code (mostly) and some typescript code.

We hope that following can be said about you:

• 4+ years of experience developing and operating production systems.
• Experience running, monitoring and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.
• Experience with programming languages such as Python and Typescript. Willingness to code in Python is required since a large part of our codebase is Python.
• Good architectural understanding of event driven architectures, workflow engines, database and datawarehouse systems.
• Enjoy writing maintainable and well-tested code
• Follow common practices: version control (git), issue tracking, unit testing and agile development processes
• Generalist and pragmatic approach to development. Knowledge of various programming languages is a plus.
• Ability to build infrastructure and components following best practices such as CI/CD and infrastructure as code.
• Broad knowledge of software fundamentals, databases, warehouses and system design.
• You can write well-structured, testable and high-performance code.
• You are familiar with some of the following:
• Workflow engines, Stream processing, Spark, Athena, SQL, dbt
• You are self-motivated, proactive, and bring energy to the teams and projects you work on.
• You are driven by value creation and overall impact.

Not required but potentially relevant:

• Knowledge of ML, particularly relevant if with PyTorch.

As a company we are focused on improving the way we live our lives. From the people who use our product to the team behind it, we work to empower every person to own their inner potential.

Location

In this role you can work remotely in Finland as well as from our easy-to-reach Helsinki or Oulu offices.

• If working remotely, availability to occasionally travel to the office is expected (for example for workshops and team gatherings)

Benefits

• Competitive Salary
• Lunch benefit
• Wellness benefit
• Flexible working hours
• Collaborative, smart teammates
• An Oura ring of your own
• Personal learning & development program
• Wellness Time Off

If this sounds like the next step for you, please send us your application as soon as possible, but by November 17th the latest.

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, socioeconomic status, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

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Job Description

Experian is looking for an experienced Full-Stack Software Developer to support our growing Experian Housing and Verification Business. You will improve the development of Mortgage Capital Market solutions. You will design, implement, and automate data and platform solutions, and deploying machine learning models for both client. You will work with very complex and different data sets such as mortgage loan-level data, Residential Mortgage-Backed Securities data, Climate Risk and economic datasets to develop solutions across the mortgage lifecycle, including servicing, risk management, and capital markets.

Main Responsibilities:

• Understand the analytic and product needs of the mortgage servicing and capital markets industry through interactions with internal product management, sales leaders, clients, and partners.
• Work with the product team to understand the customer problem, requirements and brainstorm on solution
• Design cost-effective solutions and create an incremental delivery plan
• Support analytical projects from solution design to implementation, ensuring data integrity and automation.
• Architect and build data pipelines and platform design to help deploy data solutions from back-end databases and data lakes to front-end platform UI.
• Develop and maintain data pipeline infrastructure and front-end solutions.
• Experience approaching a problem from different angles, analyzing pros and cons of different solutions and data products and services, while enhancing current processes and offerings.
• Develop dashboards and reports using data visualization tools.
• Communicate analysis results to internal users through presentations.
• Evaluate new data sources and apply machine learning, deep learning, data mining, and text mining techniques to uncover data value.
• Collaborate with a team of consultants, statisticians, analysts, and project managers.
• Manage project queues and develop streamlined workflows with teams.

Qualifications

• Advanced degree in a related quantitative field (Data Science, Computer Science, Math, Statistics, Engineering, Physics, or Economics).
• Basic experience with API services (Restful) for data ingestion.
• Fundamental experience with Large Language Models and GenAI for augmenting data solutions.
• 5+ years of experience in analytics in financial services and/or the mortgage industry.
• Advanced experience with Python API (PySpark), SQL, scripting languages (e.g., Python), and familiarity with statistical/mathematical programming languages (e.g., R, SAS).
• Experience with front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js.
• Experience in cloud-based development environments and automation tools such as AWS and Airflow.
• Background in ML Ops and end-to-end modeling platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML).
• Experience with data visualization and dashboarding tools such as Tableau (preferred).
• Expertise in statistical analysis, machine learning techniques, predictive modeling, and data mining.
• Experience communicating updates and resolutions to customers and other partners to both technical and non-technical audiences.

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Job Description

Job description

The Senior Generative AI Engineer, reporting to the Head of AI/ML Innovation, will work with the Generative AI team to accelerate Experian's impact by bringing together data, technology, and data science to build game-changing products and services for our customers. We are looking for a Generative AI Engineer, Sr., to help develop our specialized Generative AI Models in integration with Consumer Services products. These new capabilities will help provide Financial Power to All our customers. As a growing team, we embrace a startup mentality while operating in a large organization. We value speed and impact – and our results and ways of working are transforming the culture of the larger organizations around us. Role accountabilities and critical activities

You'll develop our generative AI models with existing software teams building products

You will

• You will develop a scalable framework for developing specialized Generative AI models
• You can develop scalable pipelines, tools, and services for building production-ready Generative AI models
• You will work with our data engineers, ml engineers, and software engineers to pilot our products with beta customers
• Maintain our culture of simple, streamlined code and full CI/CD automation
• Develop simple, streamlined, and well-tested ML pipeline components

Qualifications

• 5+ years of experience working with machine learning or generative AI libraries such as Langchain, llamaindex, Langsmith, and llamaguard
• Open source Foundation models: llama3, llama2, mistral, falcon, phi, dbrx, arctic, Bert
• Off-the-shelf models: GPT, Claude, Gemini
• Embedding models: nomic, ada, bge, e5
• Orchestration Frameworks: mlflow, airflow
• Extensive experience working with retrieval augmented generation and supporting databases/libraries such as: Vector databases: chromadb, pgvector, qdrant, pinecone, weaviate, and milvus
• Chunking algorithms/strategies
• Embedding models/dimensions
• Advanced knowledge in Python/PySpark and SQL
• Experience working in the Databricks AI Suite of products, particularly Mosaic branded products
• Familiarity with the AWS platform and services including CI/CD automation methods
• Experience with fine tuning LLMs or SLMs and working with large sets of data

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About PriceHubble

PriceHubble is a European B2B company that builds innovative digital solutions for the financial and real estate industries based on property valuations and market insights. Leveraging big data, cutting-edge analytics, and great visualization, our product suite brings a new level of transparency to the market, enabling their customers to make real estate and investment decisions based on the most accurate data-driven insights (such as valuations, market analyses, value forecasts, building simulations or energy performance insights) and enhance the dialogue with end consumers. PriceHubble's digital solutions are designed to help all players across the entire real estate value chain (banks, asset managers, developers, property managers, and real estate agents). PriceHubble is already active in 11 countries (Switzerland, France, Germany, Austria, the United Kingdom, Japan, Netherlands, Belgium, Czech Republic, Slovakia, and the United States) and employs more than 200 people worldwide. 

The opportunity

At PriceHubble, we organize our teams into Tribes. Each Tribe is responsible for a specific part of our product. They identify customer needs, create solutions, and ensure everything runs smoothly. Each Tribe operates independently, managing all aspects of its area. Engineers rotate between project teams and a group focused on maintenance and technical improvements.

The Property Intelligence Tribe provides insights to make informed real estate decisions. This includes assessing property values, tracking market trends, evaluating investment opportunities, and improving property management. Our mission is to deliver accurate property information for every residential property in our areas of operation. In that, Tribe members create the unique insights and intellectual property that drive our products.

The Tribe is a distributed team of engineers from 6 nationalities, located in 5 different European countries.

As an applied Senior Data Scientist, you will work on the ML systems that drive the core services of our platform. You will design, implement, and maintain Automated Valuation Models (AVMs) that professionals trust for assessing residential property values.

The impact you will have

• Develop product features that directly drive revenue growth. Our valuation models are major selling points for our customers.
• Navigate cost-value trade-offs to make decisions that deliver value to customers at an appropriate cost.
• Implement solutions that work well in over 10 countries, while considering local specifics in your model.
• Lead a project from concept to launch, working with a temporary team of engineers.
• Raise the bar and drive the team to deliver high-quality products, services, and processes.
• Improve the performance and cost-efficiency of our ML models and pipelines at scale.
• Maintain and monitor the ML systems owned by your team.

What we look for

• A product-oriented mindset and enthusiasm for contributing to user-facing products. For you, ML is a means to an end – you're focused on delivering value to customers.
• Excellent English communication skills, both spoken and written, that allow you to communicate effectively with cross-functional partners and mentor fellow engineers. In our distributed team setup, strong writing communication skills are essential.
• Hands-on, you value writing clear, simple, and maintainable code. You understand that code is read more often than it is written.
• You embrace a growth mindset. You always continue learning and always seek new challenges. 
• Over 3 years of industry experience applying machine learning to solve business problems and writing production ML pipelines.

Bonus

• Previous experience in PropTech.
• Proficient in working with geospatial data and leveraging geospatial features.

We're actively seeking applications from candidates of all backgrounds.

Join an ambitious and hungry team and enjoy the following benefits:

???? Competitive salary because we always want to attract the best talents.

???? Learning & Development program - We want you to feel happy, confident about improving your skills, experience level as well as your personal development success.

???? Very well-located offices with a great remote work policy and the possibility to work from different places.

???? Flexible working hours and work life balance.

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Akur8 is a young, dynamic, fast growing Insurtech that has been transforming insurance pricing and reserving with transparent Machine Learning since 2016.

Akur8 leverages the power of Transparent Machine Learning and Predictive Analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes.

Since 2016 our skilled R&D team of Data Scientists, Software Engineers and Actuaries has developed unique AI algorithms that automate the insurance pricing process in an unprecedented way.

Our pricing solution is a SaaS platform which allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, constituting a major game changer for the insurance industry.

Akur8 has already been selected:

• In CB Insights Top 50 World Insurtech Companies 2023
• In Insurtech Global’s Top 100 AIFinTech list 2023
• In Fintech Global’s Top 100 AIFinTech list 2023
• As No.24 in Sønr’s World Top 100 Insurtech Companies 2022
• As 3rd best overall (worldwide) in the CodinGame 2022 Software Engineering Fall Challenge

With 35 nationalities within our team, and offices in Paris, London, New York, Tokyo, Milan, Cologne, Atlanta and Montréal, Akur8's solution is international by design. Servicing more than 250+ clients across 4 continents and targeting all non-life insurance carriers, we focus on more mature markets for faster expansion.

To learn more about Akur8, and what we do, click here.

Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination.

We’re looking for Senior Full-Stack Software Engineers, working in majority on Backend, that have a strong interest in both cloud-computing & AI in order to help build our complex SAAS solution alongside our world-class tech teams.

Our Engineering team is the driving force behind an exhilarating development journey, sculpting the gold standard in insurance pricing software according to our ambitious development roadmap. 

You are an experienced Software Engineer with strong Backend expertise, with a client-first approach that will help us build our complex data-processing solution. You have an objective-driven mindset and you have proactivity solving problems that matter for our deliveries and to our clients . You possess a sharp curiosity to understand both the smallest details, and the general purpose of the features being developed. Your main responsibilities will include: 

• Design and implement features that allow actuaries to better understand their pricing strategies.
• Develop both Frontend and Backend components using Angular, Java and Python.
• Implement high-performance responsive user interfaces.
• Work closely with Machine Learning engineers to put in production new ML methods.
• Work closely with product and designers to refine features and prototypes.
• Ensure that the development is in line with clean code standards and our testing strategy.
• Close contact with clients to ensure maximum reactivity of your team.

Technology stack: 

• Java 21 (Spring), Angular 18, Python 3, AWS, PostgreSQL, Redis, Docker

Candidates must be team players with excellent interpersonal skills. They must also have solid, proven experience architecting and building commercial quality business software applications. They need to be a guarantor that Front end best coding practices are respected and followed in the squad and throughout the engineering team. 

• 4+ years of experience in software development
• Understand client priorities & the need to find the right balance between fast delivery and code robustness
• Master Degree (Bac+5) from a top engineering school
• Work closely with product and designers to refine features and prototypes
• Training other engineers in Front End development
• A fluent level of spoken English 

Additional bonus : 

• Experience in Front End development
• Interest in Machine Learning
• Experience using AWS

Important: You must possess an employment status : French or Schengen area nationality or a ‘carte de séjour’ that will allow work from our Paris office. We are equally open to the visa sponsorship of non-EU candidates as long as they are already in possession of their final diploma / attestation of their final academic results.

As a newcomer, you'll be joining a diverse, highly skilled and motivated team, with a strong Tech DNA, colleagues that are eager to share their knowledge and passion.

But it’s not all work, you’ll also be part of a dynamic team that enjoys spending time together and having fun, including karaoke, team lunches, playing sports as well as the occasional ‘happy hour’.

In addition to this, we will provide you with:

• Competitive salary + annual bonus
• Hybrid office / home office policy
• 25 days of paid holidays + RTT
• Gym membership with Gymlib
• On-site gym facilities / corporate sporting activities
• Excellent health insurance (including possibility of family coverage)
• Swile lunch vouchers 
• Public transportation reimbursement + sustainable mobility allowance

• Relocation support
• Sponsored crèche access
• Free cafeteria with fresh fruit, drinks and snacks
• Great office in the heart of the 9th arrondissement of Paris

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Akur8 is a young, dynamic, fast growing Insurtech that has been transforming insurance pricing and reserving with transparent Machine Learning since 2016.

Akur8 leverages the power of Transparent Machine Learning and Predictive Analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes.

Since 2016 our skilled R&D team of Data Scientists, Software Engineers and Actuaries has developed unique AI algorithms that automate the insurance pricing process in an unprecedented way.

Our pricing solution is a SaaS platform which allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, constituting a major game changer for the insurance industry.

Akur8 has already been selected:

• In CB Insights Top 50 World Insurtech Companies 2023
• In Insurtech Global’s Top 100 AIFinTech list 2023
• In Fintech Global’s Top 100 AIFinTech list 2023
• As No.24 in Sønr’s World Top 100 Insurtech Companies 2022
• As 3rd best overall (worldwide) in the CodinGame 2022 Software Engineering Fall Challenge

With 35 nationalities within our team, and offices in Paris, London, New York, Tokyo, Milan, Cologne, Atlanta and Montréal, Akur8's solution is international by design. Servicing more than 250+ clients across 4 continents and targeting all non-life insurance carriers, we focus on more mature markets for faster expansion.

To learn more about Akur8, and what we do, click here.

Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination.

We’re looking for Senior Full-Stack Software Engineers, working in majority on Frontend, that have a strong interest in both cloud-computing & AI in order to help build our complex SAAS solution alongside our world-class tech teams.

Our Engineering team is the driving force behind an exhilarating development journey, sculpting the gold standard in insurance pricing software according to our ambitious development roadmap. 

You are an experienced Software Engineer with strong Frontend expertise, with a client-first approach that will help us build our complex data-processing solution. You have an objective-driven mindset and you have proactivity solving problems that matter for our deliveries and to our clients . You possess a sharp curiosity to understand both the smallest details, and the general purpose of the features being developed. Your main responsibilities will include: 

• Design and implement features that allow actuaries to better understand their pricing strategies. 
• Develop mainly the Frontend components of our features using Angular
• Implement high-performance responsive user interfaces. 
• Work closely with Machine Learning engineers to put in production new ML methods.
• Work closely with product and designers to refine features and prototypes.
• Ensure that the development is in line with clean code standards and our testing strategy.
• Close contact with clients to ensure maximum reactivity of your team. 

Technology stack: 

• Java 21 (Spring), Angular 18, Python 3, AWS, PostgreSQL, Redis, Docker

Candidates must be team players with excellent interpersonal skills. They must also have solid, proven experience architecting and building commercial quality business software applications. They need to be a guarantor that Front end best coding practices are respected and followed in the squad and throughout the engineering team. 

• 4+ years of experience in software development
• Understand client priorities & the need to find the right balance between fast delivery and code robustness
• Master Degree (Bac+5) from a top engineering school
• Work closely with product and designers to refine features and prototypes
• Training other engineers in Front End development
• A fluent level of spoken English 

Additional bonus : 

• Experience in JAVA, Python, C# or another back end development language
• Interest in Machine Learning
• Experience using AWS

Important: You must possess an employment status : French or Schengen area nationality or a ‘carte de séjour’ that will allow work from our Paris office. We are equally open to the visa sponsorship of non-EU candidates as long as they are already in possession of their final diploma / attestation of their final academic results.

As a newcomer, you'll be joining a diverse, highly skilled and motivated team, with a strong Tech DNA, colleagues that are eager to share their knowledge and passion.

But it’s not all work, you’ll also be part of a dynamic team that enjoys spending time together and having fun, including karaoke, team lunches, playing sports as well as the occasional ‘happy hour’.

In addition to this, we will provide you with:

• Competitive salary + annual bonus
• Hybrid office / home office policy
• 25 days of paid holidays + RTT
• Gym membership with Gymlib
• On-site gym facilities / corporate sporting activities
• Excellent health insurance (including possibility of family coverage)
• Swile lunch vouchers 
• Public transportation reimbursement + sustainable mobility allowance

• Relocation support
• Sponsored crèche access
• Free cafeteria with fresh fruit, drinks and snacks
• Great office in the heart of the 9th arrondissement of Paris

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We are expanding our development teams and although we don’t care much about titles, we call this role IA Engineer.

As an IA Engineer, you will be part our international AI/ML team developing tailored solutions to satisfy our client's needs. We are looking for a passionate AI Engineer with background in machine/deep learning. You will be training, and deploying models, putting research into production, among other tasks.

You will be part of a multidisciplinary team, taking care of the software engineering challenges associated with AI. You will take part in challenging projects using cutting edge technologies. You will work in an international environment with the possibility of working from home or from our offices.

Our vision is to build multidisciplinary teams which directly manage projects in an AGILE way to find and implement the best solutions ????

You will be responsible for:

• Participating in the design and development of AI solutions for challenging projects.
• Building production level ML/AI solutions, with solid software engineering and ML/AI principles.
• MLOps.
• Automated deployment and monitoring (models and infrastructure).
• Data analysis (data cleaning, variable transformation, etc.).
• Developing and training ML models.
• Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.

• 3 or more years of experience in AI / Machine Learning / Computer Science.
• Can build an “end-to-end software product” which has machine learning component.
• Strong skills in Python and reasonable SQL understanding.
• Experience in building ML/deep learning pipelines and models.
• Experience in implementing production ready ML models using current ML/Deep learning techniques.
• Experience with Deep learning frameworks like Tensorflow, PyTorch etc.
• Experience with Big Data projects and tools.
• Experience writing RESTful web services.
• Experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.)
• Experience with source code version control tools.
• Experience working with Azure or other cloud-based solution.
• English is a must

• Salary determined by the market and your experience ????

• Flexible schedule 35 Hours / Week ????
• Fully remote work (optional) ????
• Flexible compensation (restaurant, transport, and childcare) ✌
• Medical and dental insurance (completely free of charge for the employee) ????
• Individual budget for training and free Microsoft certifications ????
• English lessons (1 hour/week) ????
• Birthday day off ????????
• Monthly bonus for electricity and Internet expenses at home ????
• Discount on gym plan and sports activities ????
• Plain Camp (annual team-building event) ????
• ➕ The pleasure of always working with the latest technological tools!

With all this information you already know a lot about us. Will you let us know you better?

The selection process? Simple, just 3 steps: a call and 2 interviews with the team ????

And you may wonder… Who is Plain Concepts?

Plain Conceptsis made up of 400 people who are passionate about technology, driven by the change towards finding the best solutions for our customers and projects.

Throughout the years, the company has grown thanks to the great technical potential we have and relying on our craziest and most innovative ideas. We currently have over 14 offices in 6 different countries. Our main goal is to keep growing as a team, developing the best and most advanced projects in the market.

We truly believe in the importance of bringing together people from different backgrounds and countries to build the best team, with a diverse and inclusive culture.

What do we do at Plain Concepts?

We are characterized for having a DNA 100% technical. We develop customized projects from scratch, technical consultancy and training.

• We don’t do bodyshopping or outsourcing
• Our teams are multidisciplinary, and the organizational structure is flat and horizontal
• We are very committed to AGILE values
• Sharing is caring: We help, support, and encourage each other to expand our knowledge internally and also towards the community (with conferences, events, talks…)
• We always look for creativity and innovation, even when the idea might seem crazy to others
• Transparency is key to any relationship

To know more about us, take a look in our website:

➡ https://www.plainconcepts.com/case-studies/

At Plain Concepts, we certainly seek to provide equal opportunities. We want diverse applicants regardless of race, colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.

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The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

The Team

CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. 

Our vision is to build the future of science by advancing biomedical research and leveraging advances in AI. Over the next 10 years, we’re working to understand the mysteries of the cell, which we believe will lead to discoveries that will change medicine in the decades that follow. We’ll use emerging tools, methods, and models to make new discoveries and spur the translation of basic science into groundbreaking treatments and therapies.

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.

The AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.

The Opportunity

As a Senior/Staff Research Scientist on the AI/ML team you will conduct original research in developing state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI’s mission. The era of big data in biology is upon us, driven by advancements in high-throughput measurement techniques, generating vast amounts of rich multimodal data. You will work as part of a diverse team of AI scientists and engineers leveraging large multimodal datasets to build foundation models that advance both the state-of-the-art in AI as well as our understanding of biological systems. You will also have the opportunity to work on aspects of AI for scientific discovery to build systems that embed AI systems deeply into the process of proposing and generating new scientific insights and reify existing ones into scalable systems.

You will have the opportunity to work closely with teams of scientists, computational biologists, and engineers within CZI and to collaborate with CZI grantees, CZ institutes, and other external labs and organizations. Your work will inspire and enhance the production and analysis of datasets by CZ teams and collaborators. 

What You'll Do

• Conduct original research in the area of generative multimodal modeling, large language models (LLMs), diffusion models, probabilistic reasoning and causality/causal representation learning as it applies to fundamental problems in AI for advancing the sciences. 
• Build, train, and evaluate multimodal foundation models utilizing CZI’s 1000xH100 GPU compute cluster and distributed training infrastructure. 
• Work with a diverse range of multimodal and biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, cryoET tomography, scientific literature, and more. 
• Advance the community standards for dissemination, presentation, and evaluation of computational approaches to core scientific problems.
• Contribute to the scientific community through publishing papers, blog posts, open source code, and attending conferences in machine learning and the life sciences.

What You'll Bring

• Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners.
• Have a PhD or Masters in machine learning, computer science, math/statistics or a related field or equivalent industry experience.
• Have at least 5-8 years of experience developing and applying AI/ML methods in industry and/or academia. 
• Have demonstrated experience building and training deep learning/generative models, ideally in a distributed/multi-node environment.
• Experience working with, processing, and analyzing large datasets and building data pipelines for model training. 
• A good working knowledge of Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas.
• Have the ability to work independently and as part of a team, and have excellent communication and interpersonal skills.
• Have a proven track record of relevant research publications, preprints, or software packages.
• An appetite for turning scientific problems into reproducible, rigorously engineered systems based on quantitative evaluation
• Enthusiasm about open science and helping usher in the age of generative AI for advancing science

Compensation

The Redwood City, CA base pay range for this role is $190,000 - $285,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
• CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving to the Bay Area
• And more!

Commitment to Diversity

We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. 

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#LI-Hybrid

 

 

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Job Description

Position Overview: As a Software Application Architect of our Ascend Fraud team, you will design and oversee the development of distributed applications focused on fraud detection. In this individual contributor hybrid role, you will report into the Sr. Director of Software Development. You will work with teams to ensure that architectural decisions align with our goals, while also remaining hands-on with coding tasks. You will have experience working in agile environments, familiarity with DevSecOps practices, and experience building secure and efficient solutions.

Responsibilities:

• Define the Architecture for Ascend Fraud services on the Ascend Platform: design and evolve the system structure, choose the appropriate technologies, frameworks, and design patterns to meet functional requirements
• Guide the implementation of technical solutions while considering service re-usability and consolidation through the use of machine learning.
• Work with product management, platform architects, developers, and other technical teams
• Provide guidance to development teams, ensuring that architectural principles are followed and that the design is implemented correctly.
• Implement DevSecOps practices, integrating security measures into the entire software development lifecycle.
• Select tech stacks, tools and platforms to ensure these decisions align with the project's goals
• Design cloud-native architectures on AWS and container orchestration platforms like Amazon EKS.
• Oversee the design and integration of SQL and NoSQL database technologies
• Find and address risks related to system performance, security, scalability, and technical debt
• Spend up to 30% of your time writing high-quality code
• Work in an agile environment, ensuring agreement on requirements

Qualifications

• You must be located near Scottsdale, Arizonadue to the hybrid nature of this role
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years experience in full stack software development (2+ being in an architecture role) (React.JS, JavaScript UI frameworks, Java, microservices).
• Expertise in Microservices Architecture including service orchestration, communication patterns, and data storage
• Proficient in SQL and NoSQL database technologies
• Familiarity with fraud detection algorithms, anomaly detection, ML models with a focus on security and scalability
• Proficiency in (AWS) Cloud Services such as EC2, Lambda, API Gateway, S3, RDS, and DynamoDB
• Knowledge of DevSecOps practices and security integration
• Background in encryption, identity and access management, and compliance with standards such as PCI DSS and GDPR.
• Optimize system performance and scale services in a cloud-native environment.
• #LI-Hybrid

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