Associate AI/ML Engineer

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka
In-Office
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Design, build, and deploy ML/DL solutions including LLM-based conversational applications; perform data cleaning, feature engineering, model training and evaluation; optimize models for production and collaborate cross-functionally to drive AI/ML projects.
Summary Generated by Built In
Requisition Number: 2331067
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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
We are looking for a Data Scientist to drive end-to-end ML and DL projects.
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
  • Bachelor of Technology
  • Minimum 3 - 6 Years of experience into AIML
  • Knowledge of Large Language Models (LLMs) for text and conversational applications
  • Familiarity with data cleaning, feature engineering, and model evaluation best practices
  • Proficiency in Python, including libraries like pandas, NumPy, and scikit-learn
  • Demonstrated ability to build, train, and optimize machine learning models for production
  • Proven excellent analytical thinking and communication skills for cross-functional collaboration

Preferred Qualifications:
  • Hands-on experience with deep learning frameworks (TensorFlow/PyTorch)
  • Experience using cloud platforms (AWS/GCP/Azure) for scalable deployments
  • Exposure to Retrieval-Augmented Generation (RAG) methodologies and AI Agents

Top Skills

Python,Pandas,Numpy,Scikit-Learn,Large Language Models (Llms)

What the Team is Saying

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
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