Hyderabad Telangana Us healthcare claims Jobs – 124 Open Jobs Today

Lead AI/ML Engineer
Optum —Hyderabad, Telangana
- Full-time
- Azure
- Doctoral degree
- Computer Science
- Health insurance
9d
Data Science Manager
Cohere Health —Hyderabad, Telangana
- Master's degree
- SQL
- AWS
Quick apply
Senior Software Engineer
Shiash —Hyderabad, Telangana
- ₹6,71,295.81 - ₹20,70,612.06 a year
- Full-time
- Azure
- SQL
- AWS
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Contracts & Pricing Execution Mgr
Amgen —Hyderabad, Telangana
- Finance
- Master's degree
- SharePoint
Manager, Platform
Cohere Health —Hyderabad, Telangana
- DevOps
- AWS
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Staff Application Engineer
Cohere Health —Hyderabad, Telangana
- Java
- APIs
- Communication skills
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Sr. Data Engineer
Cohere Health —Hyderabad, Telangana
- Computer Science
- Master's degree
- SQL
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RA Senior Manager OH Category
Haleon —Hyderabad, Telangana
- Full-time
- Agile
- Communication skills
Sr. Software Engineer
Cohere Health —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Java
Quick apply
Architect
Optum —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
2d
Senior Principal consultant - Azure Infrastructure & DevOps Architect
Genpact India Pvt. Ltd. —Hyderabad, Telangana
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
Staff Software Engineer, Integration
Cohere Health —Hyderabad, Telangana
- Computer Science
- DevOps
- Java
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Staff Software Engineer
Cohere Health —Hyderabad, Telangana
- Java
- APIs
- Communication skills
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Lead AI/ML Engineer

Optum -
Hyderabad, Telangana

Apply Now

Job details

Full-time
9 days ago

Benefits

Health insurance

Qualifications

Ontology
TensorFlow
CI/CD
Azure
Go
Law
Doctoral degree
Computer Science
EHR systems
Kubernetes
PyTorch
Big data
Spark
NumPy
Git
Java
Master's degree
SQL
Pandas
AWS
Docker
Bachelor's degree
Scala
Neo4j
Terraform
Continuous integration
Deep learning
Natural language processing
CPT coding
Kafka
AI
Communication skills
Graph databases
Python

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'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, cost/perf optimization
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)
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, cost/perf optimization
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)
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:

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)
Cloud proficiency (AWS/Azure/GCP) and containerization/orchestration (Docker/Kubernetes); CI/CD and IaC (Terraform) exposure
Proven solid foundation in statistics and ML (hypothesis testing, experimental design, feature engineering, supervised/unsupervised methods)
Proven deep learning expertise (PyTorch or TensorFlow) and modern NLP (transformers)
Expert Python and pandas stack; Proven ability to write vectorized, high-performance code; solid testing practices (pytest) and Git
Proven excellent communication and stakeholder management skills

Preferred Qualifications:

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
Security/compliance frameworks (SOC 2, HITRUST) experience
Experience with additional languages for performance or integration (Scala/Java/Go)
Vector databases (FAISS, Pinecone, pgvector), knowledge graphs (Neo4j), and ontologies (UMLS/SNOMED)

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.

#NIC

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us healthcare claims jobs in hyderabad telangana

Lead AI/ML Engineer

Data Science Manager

Senior Software Engineer

Contracts & Pricing Execution Mgr

Manager, Platform

Staff Application Engineer

Sr. Data Engineer

RA Senior Manager OH Category

Sr. Software Engineer

Architect

Senior Principal consultant - Azure Infrastructure & DevOps Architect

Staff Software Engineer, Integration

Staff Software Engineer

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