Job Description

Role Overview:

- Solutions Architects at John Snow Labs lead the adoption of products by providing technical leadership to customers
- Supporting customers to evaluate and adopt Medical Language Models within AI solutions
- Involved in demoing applications, implementing proof of concepts (POC) for strategic customer projects, and guiding customers through their Decision to Consume (DTC), delivering strategic business value.

Responsibilities:
- Work interactively with clients to solve their most important AI challenges.
- Gain expertise with John Snow Labs products, as well as techniques in data science and data engineering.
- Lead customers through their medical AI journeys for better model outcomes, drawing on personal leadership and people skills as much as technology.

Skills and Qualifications:
- 10+ years of experience and advanced academic degree in software engineering, data science, or a related field
- Proven hands-on experience in a core Artificial intelligence and Natural Language Processing (e.g., LLMs, RAG, Transformers, classical NLP & deep learning).
- Proficiency in getting data science solutions to production in the healthcare or life science industries
- Experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences.
- Ability to identify and communicate the business value of technical solutions.
- Deep domain knowledgeable in healthcare or life science
- Foundational understanding of benchmarking and evaluating the quality of LLM based solutions
- Foundational understanding of AWS, Azure, or GCP

Personal Attributes:
- Strong interpersonal skills, with an emphasis on teamwork and collaboration.
- Curiosity, humility, and a customer-centric mindset.
- Ability to deliver results independently, with little support or oversight

Qualifications

Responsibilities:
- Work interactively with clients to solve their most important AI challenges.
- Gain expertise with John Snow Labs products, as well as techniques in data science and data engineering.
- Lead customers through their medical AI journeys for better model outcomes, drawing on personal leadership and people skills as much as technology.

Skills and Qualifications:
- 10+ years of experience and advanced academic degree in software engineering, data science, or a related field
- Proven hands-on experience in a core Artificial intelligence and Natural Language Processing (e.g., LLMs, RAG, Transformers, classical NLP & deep learning).
- Proficiency in getting data science solutions to production in the healthcare or life science industries
- Experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences.
- Ability to identify and communicate the business value of technical solutions.
- Deep domain knowledgeable in healthcare or life science
- Foundational understanding of benchmarking and evaluating the quality of LLM based solutions
- Foundational understanding of AWS, Azure, or GCP

Personal Attributes:
- Strong interpersonal skills, with an emphasis on teamwork and collaboration.
- Curiosity, humility, and a customer-centric mindset.
- Ability to deliver results independently, with little support or oversight

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Job Description

We are seeking a highly skilled and experienced Machine Learning Engineer to join our team. The ideal candidate will have a robust background in machine learning, natural language processing (NLP), and Large Language Models (LLMs). The role focuses on training, tuning, and evaluating AI models as part of a diverse team which includes professionals from software engineering, data science, and medicine.

Qualifications

Key Responsibilities:

• Adapt LLMs to diverse healthcare use-cases using techniques such as Sparse Fine-Tuning (SFT), Prompt Engineering Fine-Tuning (PEFT), Direct Parameter Optimization (DPO), and Proximal Policy Optimization (PPO).
• Optimize LLMs for Retriever-Augmented Generation (RAG) to enhance decision-making and information retrieval capabilities.
• Collect, clean, and refine healthcare datasets for training LLMs to ensure high-quality data provisioning.
• Convert models into various formats suitable for production environments, ensuring their readiness for real-world application.

Requirements:

        •  5+ years of hands-on professional experience in software engineering, building production-grade deep learning solutions.
        •  An academic degree in computer science, data science, or a related degree. M.Sc. or Ph.D. degree is strongly preferred.
        •  Demonstrated expertise in model tuning frameworks like Axolotl.
        •   Familiarity with model serving frameworks, including vLLM, TGI, and llama-cpp, to support the deployment and scalability of machine learning models.
        •  Knowledge of model quantization techniques and frameworks to optimize AI models for performance in resource-constrained environments.
        •  Hands-on experience with Transformer architectures and proficiency in machine learning frameworks such as PyTorch.

This role offers an opportunity to be at the forefront of technological advancement in AI and healthcare, contributing to innovations that advance the healthcare, life science, and open-source AI communities. When applying, please add a cover letter which includes the words ‘John Snow Labs’ and explains your academic, professional ML engineering, and recent LLM engineering experience.

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Job Description

About the Role: Join our team as a Senior NLP Data Science Researcher, where you'll apply advanced Generative AI, LLM, and NLP methods in novel Healthcare projects. This customer-facing role demands a blend of excellent technical prowess, research expertise, and communication skills, with a focus on training and optimizing NLP/LLM models, creating robust Python-based inference pipelines, and conducting thorough data analysis and model validation.

Qualifications

Key Qualifications:
- PhD Degree: Must possess a PhD in Computer Science, Bioinformatics, Statistics, Medicine, Life Sciences, or a related field. A strong academic publishing track record is preferred.
- NLP & LLM Expertise: Demonstrable hands-on development experience in Natural Language Processing and Large Language Models (LLM).
- Software Engineering: Proven experience in coding, software design, and data science is essential. Substantial hands-on expertise with the Python ecosystem of AI libraries is required.
- Data Analysis Acumen: Skilled in exploratory data analysis, data preparation for ML/AI, and statistical evaluation of ML models.
- Communication: Exceptional oral and written communication skills, including in customer facing interactions.
- Research and Publication Skills: Proven ability to take the lead in writing scientific publications. Must have publications from LLM & NLP.
- US Residency: Must be a resident of the United States.

Desirable Skills:
- Production-Grade ML Pipeline Development: Experience in building and managing production-level text processing pipelines, MLOps and LLMOps workflows and tools.
- Technology Proficiency: Familiarity with PyTorch, Spark, Databricks, LangChain, Spark NLP, cloud API’s (AWS, Azure, etc.), and development tools (GitHub, MLFlow, Docker, etc.) is a plus.
- Healthcare Background: A background in medicine, pharma, bioinformatics, or biostatistics is highly advantageous.

The Opportunity: We offer long-term freelance contracts for professionals eager to tackle cutting-edge problems, learn and build your career as part of a world-class team. This role requires a minimum commitment of 30 hours per week and is open to individual applicants only (no agencies or teams, please). 100% remote position.

What We Offer:
- Career Growth: This is a career-defining opportunity that promises to expand your skill set and experience with various tools and techniques.
- Collaborative Environment: Work within a team of clinical and data science experts to make a significant impact.
- State of the Art Technology: Contribute to advancing the state of the art of Healthcare AI, including contributions to open-source projects and peer-reviewed papers.
- Learning and Culture: Opportunities for professional development through knowledge exchange within a global AI community.

Application Process: Qualified and interested candidates should apply by submitting a resume, a list of peer-reviewed publications, and public examples of software code or past projects.

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Job Description

We are looking for an exceptional full-stack software engineer to join a growing team and take on building web services and apps for John Snow Labs NLP libraries. The right candidate will have substantial proven hands-on experience with Python 3, JavaScript or TypeScript; deep understanding of full-stack and client-side web development, working knowledge of existing tools and frameworks for UI development, and a passion for high-quality code and design.

Mush haves:
- Strong knowledge and practice of writing reliable web applications.
- Experience with Python 3, backend frameworks, and distributed task queues.
- Teamwork practices (git flows, code reviews, issue trackers).
- Experience with Docker and Kubernetes.
- Familiarity with CI/CD and automated testing.
- Passion about user experience.
- Experience with running software in a Linux environment.
- Interest in modern technologies and desire to learn something new.

Good to have:
- A GitHub account with public contributions.
- Awareness about Spark and Jupyter notebooks.
- Frontend stack: JavaScript or TypeScript, HTML, CSS, building tools.

Also required is experience working in industry delivering production-grade software projects, working as part of an agile software team and using tools like GitHub and Docker.

If you are a good fit for this job, please include the words John Snow Labs in your response and explain why you are the right person for this job. This is potentially a full-time, long-term freelancing opportunity, with substantial opportunities to learn new technologies and grow your career.

Qualifications

Mush haves:
- Strong knowledge and practice of writing reliable web applications.
- Experience with Python 3, backend frameworks, and distributed task queues.
- Teamwork practices (git flows, code reviews, issue trackers).
- Experience with Docker and Kubernetes.
- Familiarity with CI/CD and automated testing.
- Passion about user experience.
- Experience with running software in a Linux environment.
- Interest in modern technologies and desire to learn something new.

Good to have:
- A GitHub account with public contributions.
- Awareness about Spark and Jupyter notebooks.
- Frontend stack: JavaScript or TypeScript, HTML, CSS, building tools.

Also required is experience working in industry delivering production-grade software projects, working as part of an agile software team and using tools like GitHub and Docker.

If you are a good fit for this job, please include the words John Snow Labs in your response and explain why you are the right person for this job. This is potentially a full-time, long-term freelancing opportunity, with substantial opportunities to learn new technologies and grow your career.

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Job Description

We are looking for a superstar anything-is-possible DevOps expert, who can take on automating the deployment of a new software platform, and apply best practices & tools to make sure it operates efficiently, securely, and at scale.

This is a great opportunity for a DevOps expert looking to apply the newest tools, has experience is making complex software environments run successfully, and is looking for a long-term consulting relationship. We are not able to consider teams or agencies for this job.

Please mention the words "John Snow Labs" in your response if you're interested, and explain why you are the right person for this role.

Qualifications

• - Strong system administrator experience for Linux based systems
• - Experience packaging and deploying systems with Python backends and React frontend
• - Understanding of Docker and building optimized, production ready images
• - Knowledge of packaging helm charts for Kubernetes deployment
• - Experience setting up infrastructure as a code, CI/CD, monitoring, logging - must have.
• - Securing & operating Kubernetes clusters
• - Experience building and operating AWS environments, including creating custom AMIs
• - Working knowledge of Apache Spark or other big data technologies is a big plus

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Job Description

We are looking for a superstar data scientist, who is familiar and experienced with applying machine learning and deep learning in the area of healthcare. This role requires proven hands-on experience training and optimizing models, building production-ready inference pipelines in Python, performing exploratory data analysis & enrichment, and validating models for issues like bias, overfitting, and concept drift.

Since we primarily work in healthcare and life science, background in medicine, pharma, bioinformatics, or biostatistics is highly beneficial. A PhD degree in a relevant field is preferred.

Qualifications

The primary responsibilities will be working as part of a team in customer-facing projects - building models and machine learning, deep learning, natural language processing, and time series forecasting pipelines that address specific business needs. Working knowledge of Python and TensorFlow are a must; experience with Spark, Spark NLP, and other technology stacks is a big plus. The customer facing aspect of this role also requires strong oral & written communication skills.

We are looking for experts who are looking for long-term freelancing contracts, and wish to work on cutting-edge problems, learn and grow. This role for individuals who can commit at least 30 hours per week to this project. We are not able to consider agency or team applications.

This is a career opportunity that will enable you to expand your knowledge and experience of different tools and techniques, work within a team of big data and data science experts and make a positive impact with your work. If you qualify and are interested, please include the words 'John Snow Labs' in your cover letter and explain why you are the best fit for this role.

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