Gen Ai
2 weeks ago
**Job Description**:
Key Responsibilities:
Work with Large Language Models (GPT and Open source) to solve complex challenges, including instruction tuning, LLMs orchestration.
Collaborate effectively with cross-functional teams.
Work independently to drive projects from concept to completion.
Ensure high-quality results with attention to detail.
Adapt quickly to a fast-paced, dynamic environment.
Qualifications:
Bachelor's or Master's degree in Data Science or a related field.
4+ years of experience in data science roles.
Proficiency in Python programming.
Solid experience in transfer learning (few-shot, zero-shot), model evaluations and API deployment.
Solid experience in LLMs orchestration with LangChain or similar framework.
Experience with version control (Git) and machine learning operations (MLOps) for deploying and monitoring models. (Knowledge of tools like Docker, and Kubernetes would also be helpful)
Excellent analytical thinking and problem-solving skills.
Strong communication and collaboration abilities.
Preferred Qualifications:
Knowledge of Azure cloud services.
Healthcare Industry-Specific Knowledge
**About Virtusa**
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status 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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