AI/ML Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibility:

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's degree or higher in computer science engineering with a focus on language processing. Overall 5+ years of experience in AI ML roles
• Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP
• Exposure in Gen AI - Fine tuning LLMs , RAG , Agentic etc
• Exposure to developing solution in NLP space and relevant projects
• Understanding of Both Opensource and Open AI LLMs and RAG architecture
• Familiarity with NLP literature, thrust areas, conference venues, and code repositories
• Familiarity with UI tools like Streamlit, flask etc , FAST APIs , Rest APIs , Docker containers
• Proficiency in Python, pytorch , SQL and other programming languages for data analysis and modeling
• Proficiency in libraries such as Hugging face and OpenAI API
• Proficiency with cloud development environments such as Azure, AWS, and GCP
• Proven good knowledge of and hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas
• Proven good grasp of using LLMs, Deploying LLMs
• Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

Preferred Qualifications:

• Experience in ML and NLP R&D with demonstrable impact