Bangalore, Karnataka, India
Information Technology
Full-Time
Optum
Overview
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 Responsibilities
Primary Responsibilities
- Help design and develop the next generation of NLP, ML & AI products, and services for healthcare
- Manage NLP & ML models lifecycle for a suite of products
- Manage prioritization and technology work for building NLP, ML & AI solutions
- Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
- Run A/B experiments, gather data, and perform statistical analysis
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
- Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome
- Work with a great deal of autonomy to find solutions to complex problems
- Run large complex proof-of-concepts for the healthcare business
- Exposure in RAG, LangChain, VectorDBs
- 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
- Undergraduate degree in applicable area of expertise or equivalent experience
- Experience in the health care industry
- Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully
- Experience or knowledge in Architecture: Transformers, Attention
- Experience or knowledge in Model Optimization
- Experience or knowledge in Models: GPT, Llama, Mistral
- Experience or knowledge in Statistics, Machine Learning Models, Model Deployment
- Thorough understanding of the Responsible Use of AI
- Proven excellent communication, writing and presentation skills
- Experience in the health care industry
- Retrieval & Ranking, RAG, RAGAS
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