SUMMARY

Posted: Jan 30, 2025
Weekly Hours: 40
Role Number:200587346
Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.

DESCRIPTION

Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.

MINIMUM QUALIFICATIONS

• 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).
• Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.

PREFERRED QUALIFICATIONS

• Proven experience with LLM and LMM development, fine-tuning and application building. Experience with agents and agentic workflow is a major plus.
• Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries. Experience of working with Kubernetes, DAG, docker, Conductor, etc. is a plus.
• Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations.
• Proven experience with transformer models such as BERT, GPT, etc., and a solid understanding of their underlying principles is a plus.
• Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning model knowledges to digestible information for non-technical audience.
• Proven experience in managing and mentoring teams is a plus.
• Experience in applying ML techniques in manufacturing and testing space is a major plus.

Please refer the Job description for details