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Senior AI or ML Engineer

Optum -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Benefits

Health insurance

Qualifications

Azure
Computer Science
NumPy
Master's degree
Pandas
Bachelor's degree
Machine learning
Forecasting
Natural language processing
Software development
Agile
AI
Communication skills
Python
Analytics

Full 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.

We are seeking a Senior AI/ML Engineer to design, build, and scale advanced machine learning and analytics solutions that enable Customer Experience (CX) teams to proactively identify, predict, and resolve customer issues.

This role focuses on forecasting, anomaly detection, correlation analysis, and root cause discovery using structured and unstructured enterprise data. The engineer will drive end to end ML solution delivery, ensuring models are production ready, explainable, and business impact driven.

Primary Responsibilities:

Machine Learning & Advanced Analytics
- Design, develop, and deploy ML models to analyze customer experience data
- Build time series and forecasting models to predict trends, demand, and outcomes
- Implement anomaly detection frameworks to surface abnormal patterns
- Perform correlation and root cause analysis across multi source datasets
- Apply supervised, unsupervised, and semi supervised learning techniques
Data & ML Engineering
- Develop scalable ML pipelines using Python and Databricks
- Perform feature engineering on large, complex enterprise datasets
- Partner with data engineers to ensure data quality, availability, and observability
- Deploy models into production environments with monitoring and alerting
Architecture & Delivery Leadership
- Own the technical design and architecture of ML solutions
- Translate CX business problems into ML problem statements and metrics
- Drive end to end delivery from experimentation to production rollout
- Mentor junior engineers and contribute to internal ML best practices
Responsible & Explainable AI
- Ensure models are interpretable, stable, and trustworthy
- Incorporate fairness, transparency, and governance standards
- Monitor model drift and performance degradation over time
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

Behavioral Expectations

Business first, outcome driven problem solver
Solid ownership mindset with accountability for production outcomes
Analytical, hypothesis driven approach to problem solving
Ability to explain complex ML insights to non technical stakeholders
Systems thinker with end to end awareness of data and decision flows
Quality focused with emphasis on explainability and reliability
Mentor and technical leader within the ML community

Advanced Technologies & AI Techniques

Forecasting & Time Series Models: ARIMA, Prophet, LSTM
Anomaly Detection: Isolation Forest, Autoencoders, statistical thresholds
Correlation & Root Cause Analysis: SHAP, feature importance, causal signals
Clustering & Segmentation: K Means, DBSCAN
ML Stack: Python, Pandas, NumPy, Scikit learn
Platforms: Databricks, Azure ML, Azure Functions
Monitoring: Azure Monitor, Application Insights
Explainability & Governance: Model interpretability and drift detection

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field
5+ years of software development experience
5+ years delivering ML solutions in production environments
Hands-on experience with Databricks and large scale data processing
Experience with ML model evaluation, monitoring, and lifecycle management
Solid experience with forecasting, anomaly detection, and CX analytics
Advanced proficiency in Python
Proven solid communication and stakeholder engagement skills

Preferred Qualifications:

Azure AI / Developer certifications
Experience with customer experience or operational analytics platforms
Experience working in Agile delivery environment
Exposure to NLP for customer feedback analysis
Very good in communication

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.

Apply Now

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