HYDERABAD · FULLTIME
AI/ML Engineer
Optum Global Solutions
Hyderabad · onsite · Posted 58d ago
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Undisclosed2–6 yrsfulltimeHyderabad
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Section · 01
About this role
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 visionary AI Engineering Lead who excels at the intersection of advanced AI expertise, strategic thinking, and impactful leadership. This role is ideal for someone who can architect and deliver enterprise-grade AI solutions, mentor AI engineering talent, and drive innovation in Generative AI. You will be instrumental in shaping our AI engineering culture, technology strategy, and customer-centric solutions, with a solid focus on accuracy, scalability, performance, and robust design.
Primary Responsibilities:
- Lead the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, ScikitLearn)
- Oversee endtoend 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 productiongrade ML pipelines with orchestration and experimenttracking 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, multicloud 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 realtime 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 cloudnative ML deployment
- Ensure ML systems meet high standards of scalability, security, reliability, automation, observability, and operational excellence
- Collaborate with frontend teams where needed to ensure ML components integrate seamlessly with product workflows and user-facing experiences
- Stay current with emerging AI/ML tools, frameworks, and research; evaluate applicability to current and future projects
- Communicate technical concepts, design trade-offs, and recommendations clearly to both technical and nontechnical stakeholders, including leadership
- Document methodologies, experiments, findings, and implementation details to ensure maintainability and knowledge sharing across teams
- Comply with company policies, employment terms, and organizational directives related to work arrangements and project assignments
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
- 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
Required Qualifications:
- Bachelor''s or Master''s degree in Computer Science, Data Science, Statistics, or a related field
- 5+ 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 skillsSolid 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.)
- Familiarity with the US Healthcare domain
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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Section · 02
Skills
Automationcoding standardsdata preparationamazon web servicesBusiness RequirementsbigqueryData StreamingEvent DrivendeploymentDatabricksData EngineeringcloudArchitectureData ProcessingAi SolutionsMicrosoft AzureBig DataData ScienceArtificial Intelligence
Section · Company
About Optum Global Solutions
Optum Global Solutions
IT Services & Consulting
33.0k+
employees
2002
24 years old
Hyderabad / Secunderabad, Telangana
India
₹11L PA avg
Avg at Optum Global Solutions
About
We are at the helm of a digital health care revolution, which is being accelerated by a combination of technology and talent. We build and deliver end-to-end digital health solutions for our clients.
Industries
IT Services & ConsultingHardware & NetworkingHealthcareSoftware Product
Employee ratings
10 reviews
4.0/ 5
Culture
3.6
Career growth
3.0
Work-life
3.6
Employees rate it well for
Job Security42Work-Life Balance41
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