Senior AI/ML Engineer- Optimisation & Operations Research
Optum Global Solutions · Hyderabad · onsite · Posted 28d ago
Undisclosed10–15 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
We're looking for a hands-on technical leader to design, build, and productionize AI/ML and GenAI solutions that improve healthcare operations and patient outcomes. You will own end-to-end delivery-from problem framing and data pipelines to models, MLOps/LLMOps, and ongoing monitoring-while mentoring a small team and partnering with product, data engineering, and clinical/operations stakeholders.
Primary Responsibilities - Lead architecture and delivery of ML/GenAI solutions (classification, forecasting, NLP, deep learning, LLM apps) at production scale
- Build robust data/feature pipelines over large clinical/claims datasets; write efficient, well-tested Python (pandas/NumPy) and SQL
- Develop and deploy LLM capabilities: prompt design, fine-tuning, RAG pipelines, vector indexing, and evaluation with guardrails
- Establish MLOps/LLMOps best practices: CI/CD, model registry, experiment tracking, monitoring, drift detection, A/B testing
- Ensure data privacy and compliance (HIPAA/PHI handling, access controls, auditability) and champion model governance and Responsible AI
- Translate business problems into technical roadmaps; communicate trade-offs and results to executives and non-technical partners
- Mentor engineers and set engineering standards (code reviews, documentation, reliability, observability)
- Bachelors in Computer Science, Engineering, Math, or related field required; MS/PhD preferred or equivalent experience
- 10+ years of professional experience in software/ML engineering, including 3+ years leading projects or teams
- Hands-on GenAI experience: LLMs, embeddings, RAG, fine-tuning, evaluation; familiarity with Hugging Face and LangChain/LlamaIndex
- Solid data engineering skills: SQL; experience with Spark/Dask and workflow orchestration (Airflow/Prefect)
- Solid foundation in statistics and ML (hypothesis testing, experimental design, feature engineering, supervised/unsupervised methods)
- Deep learning expertise (PyTorch or TensorFlow) and modern NLP (transformers)
- Expert Python and pandas stack; ability to write vectorized, high-performance code; solid testing practices (pytest) and Git
- Cloud proficiency (AWS/Azure/GCP) and containerization/orchestration (Docker/Kubernetes); CI/CD and IaC (Terraform) exposure
- Proven excellent communication and stakeholder management skills
- Healthcare domain experience: claims, EHR/HL7/FHIR, coding (ICD/CPT), risk adjustment, quality measures, de-identification
- Experience with Big data platforms (Databricks, Snowflake, BigQuery) and streaming (Kafka); lakehouse patterns
- Experience with MLOps stack: MLflow/SageMaker/Azure ML/Vertex; model monitoring/observability
- Vector databases (FAISS, Pinecone, pgvector), knowledge graphs (Neo4j), and ontologies (UMLS/SNOMED)
- Security/compliance frameworks (SOC 2, HITRUST) experience
- Experience with additional languages for performance or integration (Scala/Java/Go)
Sourced from naukri
Skills
Dockerdaskdata privacyamazon web servicesapache airflowEHRclassificationbigqueryazure mlEmbeddingsExperimental DesignDatabricksData EngineeringcloudArchitectureDeep LearningcomplianceMicrosoft AzureData PipelineBig DataArtificial Intelligence
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
Find them on