Advantine Technologies
Advantine Technologies Pvt Ltd a company specialized in the business areas of Web Development, Mobile Application Development, Manpower Solutions, Training& Development, serving IT and non IT clients in Domestic and International sector, be it Service firms, Product companies, Technical support companies or start ups. We believe in the realization of our vision through our inherent values that have provided us with strength right from the outset. We represent a team of bright experienced professionals moving towards a common goal of achieving excellence and beyond. We provide innovative, time-bound solutions to our customers, among whom are some of the most prominent players in the industry. We aim to constantly add value to our customer’s requirements and expectations through our cutting edge technology solutions and our ability to understand their business processes. We believe that the most important factor of our success is the success of our clients, (and provide them with tools for successful business). Advantine Technologies, both in idea and realization, is a client-oriented company. By supplying our customers with top resources and skills, we fulfill our main goal – add value to clients businesses. By remaining focused within specific industry sectors, we have developed an in-depth understanding of the nature of our clients’ business as well as their individual corporate culture.
Machine Learning Engineer (REMOTE ) (PyTorch, TensorFlow, C/C++, Java or Python)
Advantine Technologies is hiring a Remote Machine Learning Engineer (REMOTE ) (PyTorch, TensorFlow, C/C++, Java or Python)
Job Description
Title : Machine Learning Engineer
Location : Remote (PST/CST Only)
Nature of employment : 12 months- potential for extension up to 2 years
Direct client
Internal job id: FT0770
Software Engineer, Machine Learning
We are embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and challenging problems in the industry.
Responsibility
Adapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements from XFN teams
Code deliverables in tandem with the engineering team
Minimum Qualifications
6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
Experience with scripting languages such as Python, Javascript or Hack
Experience with developing machine learning models at scale from inception to business impact
Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
Experience building and shipping high quality work and achieving high reliability
Track record of successful cross-functional partnerships
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
Masters degree or PhD in Computer Science or another ML-related field
Exposure to architectural patterns of large scale software applications
Experience with scripting languages such as Pytorch and TF
TOP 3 SKILLSETS:
1) The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across team
2) Experience with scripting languages such as Pytorch and TF
3) Masters degree or PhD in Computer Science or another ML-related field
Candidate Requirements:
Must-Have Skills:
1) 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
2) Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
3) Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Nice-to-have Skills:
Exposure to architectural patterns of large scale software applications
Experience with scripting languages such as Pytorch and TF
Qualifications
PyTorch, TensorFlow, C/C++, Java or Python
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