AI/ML Engineer

Primary Responsibilities:

• Lead the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, Scikit‑Learn)
• Oversee end‑to‑end ML workflows-from data preparation, feature engineering, EDA, and model development to evaluation, deployment, and continuous monitoring
• Guide model selection, optimization, and tuning, ensuring solutions balance performance, explainability, cost, and Responsible AI principles
• Build and maintain production‑grade ML pipelines with orchestration and experiment‑tracking tools such as MLflow, Feature Stores, ONNX, and vector databases
• Lead drift analysis, observability, and model health monitoring to ensure ongoing accuracy, reliability, and robustness in production environments
• Design and support scalable, multi‑cloud ML infrastructure (Azure/GCP primary, AWS optional), incorporating best practices for compute, storage, networking, and distributed data processing
• Collaborate with data engineering teams to integrate real‑time and batch pipelines built on Synapse/BigQuery, Dataflow/Databricks, and Kafka/EventHub/PubSub
• Work closely with engineering, product, data science, and UX to translate business requirements into actionable technical solutions and architecture patterns
• Review and guide the creation of architecture diagrams, C4 models, ADRs, and technical specifications as part of engineering governance

• Mentor and coach data scientists and ML engineers on best practices in model development, experimentation, coding standards, optimization, and cloud‑native ML deployment

   

• 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

Scientist Responsibilities::
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.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 6+ years of experience in Data Science, AI/ML, or a similar role.
• Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
• Hands-on experience in delivering production-grade AI/ML projects
• Solid understanding of mathematical and statistical concepts
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Proven solid programming skills in Python, with experience in pandas, numpy, and SQL
• Proven excellent problem-solving and analytical thinking skills
• Proven solid communication and collaboration skills to work effectively in a team environment

Preferred Qualification:

• Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)

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.

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