Senior AI or ML Engineer

Top Gen AI Jobs

Gurugram District

On-site

INR 6,804,000 - 7,837,000

Full time

38 hours ago
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Job summary

Optum is seeking a hands‑on Senior AI or ML Engineer in Gurugram to design, build, and productionize AI/ML and GenAI solutions for healthcare operations and patient outcomes.

You will own end‑to‑end delivery, mentor a small team, and partner with product, data engineering, and clinical/operations stakeholders to deliver impactful results at scale.

Qualifications

  • 10+ years of professional experience in software/ML engineering.
  • 3+ years leading projects or teams.
  • Bachelor's degree in Computer Science, Engineering, Math, or related field
  • MS/PhD preferred or equivalent experience

Responsibilities

  • Lead architecture and delivery of ML/GenAI solutions at production scale.
  • Build robust data and feature pipelines over large clinical and claims datasets.
  • Write efficient, well‑tested Python and SQL.
  • Develop and deploy LLM capabilities including prompt design, fine‑tuning, RAG pipelines, vector indexing, and evaluation with guardrails.
  • Establish MLOps and LLMOps best practices including CI/CD, model registry, experiment tracking, monitoring, drift detection, A/B testing, and cost/performance optimization.
  • Ensure data privacy, compliance, 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.
  • Collaborate with research, engineering, and product teams to move AI advancements into production‑ready capabilities.
  • Embed fairness, transparency, and accountability throughout the model development lifecycle.

Skills

LLM
RAG
Gen AI
Hugging Face
LangChain
LlamaIndex
Embeddings
Fine‑tuning
LLMOps
Transformers
AI/ML
Machine Learning
NLP
Deep Learning
Python

Education

Bachelor's degree in Computer Science, Engineering, Math, or related field
MS/PhD preferred or equivalent experience

Job description

Optum is hiring a hands‑on technical leader to design, build, and productionize AI/ML and GenAI solutions for healthcare operations and patient outcomes. The role owns end‑to‑end delivery, mentors a small team, and partners across product, data engineering, and clinical/operations stakeholders.

Home/Jobs/Senior AI or ML Engineer

Senior AI or ML Engineer

Optum

Gurugram

10+ years

2 days ago

$71.1K–81.9K/yr

Full-time

Onsite

Skills Required
  • LLM
  • RAG
  • Gen AI
  • Hugging Face
  • LangChain
  • LlamaIndex
  • Embeddings
  • Fine‑tuning
  • LLMOps
  • Transformers
  • AI/ML
  • Machine Learning
  • NLP
  • Deep Learning
  • Python

Optum is hiring a hands‑on technical leader to design, build, and productionize AI/ML and GenAI solutions for healthcare operations and patient outcomes. The role owns end‑to‑end delivery, mentors a small team, and partners across product, data engineering, and clinical/operations stakeholders.

Company:

Optum

Role:

hands‑on technical leader

Experience
  • 10+ years of professional experience in software/ML engineering
  • 3+ years leading projects or teams
Qualification
  • Bachelor's degree in Computer Science, Engineering, Math, or related field
  • MS/PhD preferred or equivalent experience
Responsibilities
  • Lead architecture and delivery of ML/GenAI solutions at production scale
  • Build robust data and feature pipelines over large clinical and claims datasets
  • Write efficient, well‑tested Python and SQL
  • Develop and deploy LLM capabilities including prompt design, fine‑tuning, RAG pipelines, vector indexing, and evaluation with guardrails
  • Establish MLOps and LLMOps best practices including CI/CD, model registry, experiment tracking, monitoring, drift detection, A/B testing, and cost/performance optimization
  • Ensure data privacy, compliance, 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
  • Collaborate with research, engineering, and product teams to move AI advancements into production‑ready capabilities
  • Embed fairness, transparency, and accountability throughout the model development lifecycle
Additional Responsibilities
  • Comply with company policies, procedures, directives, and possible changes to work location, teams, shifts, flexibility benefits, or work arrangements
Nice To Have
  • Familiarity with Hugging Face
  • Familiarity with LangChain
  • Familiarity with LlamaIndex
  • Cloud proficiency in AWS, Azure, or GCP
  • Exposure to CI/CD and IaC with Terraform
Other:
  • Culture guided by inclusion
  • Talented peers
  • Comprehensive benefits
  • Career development opportunities
  • Mission to help people live healthier lives and make the health system work better for everyone
  • Focus on advancing health optimization on a global scale
  • Enterprise commitment to equitable care and reducing health disparities
  • Commitment to mitigating environmental impact
More Skills

classification, forecasting, pandas, NumPy, SQL, prompt design, vector indexing, evaluation, guardrails, MLOps, CI/CD, model registry, experiment tracking, monitoring, drift detection, A/B testing, cost/performance optimization, HIPAA, PHI handling, access controls, auditability, model governance, Responsible AI, statistics, hypothesis testing, experimental design, feature engineering, supervised methods, unsupervised methods, PyTorch, TensorFlow, pytest, Git, Spark, Dask, Airflow, Prefect, AWS, Azure, GCP, Docker, Kubernetes, Terraform

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