What are the responsibilities and job description for the Senior AI/ML Data Scientist-----------Hybrid position at Technogen, Inc.?
TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.
TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100 projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.
Hi am Dillip Kumar-Talent Acquisition Specialist in TechnoGenInc, we are looking for Senior AI/ML Data Scientist for one of our clients. Below is the job description, if interested Please share your updated resume at Dillip.k@technogeninc.com
Position: Senior AI/ML Data Scientist
Location: Washington, DC
Duration: 12 Months Plus extension
Job Description
Key Required Skills: Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI and experience with clinical Domain
TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100 projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.
Hi am Dillip Kumar-Talent Acquisition Specialist in TechnoGenInc, we are looking for Senior AI/ML Data Scientist for one of our clients. Below is the job description, if interested Please share your updated resume at Dillip.k@technogeninc.com
Position: Senior AI/ML Data Scientist
Location: Washington, DC
Duration: 12 Months Plus extension
Job Description
Key Required Skills: Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI and experience with clinical Domain
- Staying updated on the new methods in NLP, ML and Generative AI
- Understanding real world challenges and developing automated data solutions
- Developing, testing, and deploying new techniques for NLP understanding
- Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
- Training and optimizing NLP/LLM models and creating Python based pipeline.
- Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
- Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
- Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
- Provide accurate, timely, complex, and sophisticated data analysis.
