Sr AI/ML Engineer

Optum; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Optum in Hyderabad is seeking an experienced ML Engineer to lead design and delivery of scalable AI/ML solutions from data to production. You will mentor engineers and collaborate with data, product, and engineering teams to solve complex business problems.

The role requires 8+ years in ML/data science, strong Python and ML framework skills, and hands-on experience deploying models with MLOps, CI/CD, and cloud platforms (Azure/AWS/GCP). Join us to advance health outcomes with responsible AI.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or related field.
• 8+ years of hands-on experience in machine learning, data science, or AI engineering.
• Experience deploying models to production environments with MLOps practices.
• Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes).
• Solid expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of ML algorithms, deep learning, NLP, or computer vision.
• Proficiency in data processing, feature engineering, and model evaluation.
• Knowledge of CI/CD, model monitoring, and performance optimization.
• Proven solid problem solving, communication, and collaboration skills.
• Proven ability to mentor engineers and work cross functionally with product and data teams.

Responsibilities

• Lead design and delivery of scalable AI/ML solutions from data to production
• Develop, train, evaluate, and optimize advanced machine learning models
• Productionize models using MLOps best practices, CI/CD, and monitoring
• Collaborate with data, product, and engineering teams to solve business problems
• Mentor engineers, review code, and drive ML standards and best practices
• Stay current with AI/ML advancements and ensure responsible, ethical AI usage
• Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities
• Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle

Skills

Python

ML frameworks

Education

Bachelor's or Master's in CS/AI/ML/Data Science

Tools

Docker

Kubernetes

Job description

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:

• Lead design and delivery of scalable AI/ML solutions from data to production
• Develop, train, evaluate, and optimize advanced machine learning models
• Productionize models using MLOps best practices, CI/CD, and monitoring
• Collaborate with data, product, and engineering teams to solve business problems
• Mentor engineers, review code, and drive ML standards and best practices
• Stay current with AI/ML advancements and ensure responsible, ethical AI usage
• Collaborate with research, engineering, and product teams to translate cutting‑edge AI advancements into production‑ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
• 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 regard 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

Qualifications - External

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or a related field
• 8+ years of hands on experience in machine learning, data science, or AI engineering
• Experience deploying models to production environments with MLOps practices
• Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes preferred)
• Solid expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit learn)
• Solid understanding of ML algorithms, deep learning, NLP, or computer vision
• Proficiency in data processing, feature engineering, and model evaluation
• Knowledge of CI/CD, model monitoring, and performance optimization
• Proven solid problem solving, communication, and collaboration skills
• Proven ability to mentor engineers and work cross functionally with product and data teams

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.