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Manager AIML Engineering GenAI NLP

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Hybrid

Manager AIML Engineering GenAI NLP

Orcapod Consulting Services

Manager AIML Engineering GenAI NLP

Skills

Google Cloud PlatformSQL QueriesPythonRMachine LearningAIAWSNLP / Natural Language ProcessingAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

25 September 2026

What they need


Hiring: Manager AI/ML Engineering | GenAI / NLP
Location: Hyderabad | Industry: Healthcare / Life Sciences
Experience: 10+ years overall | 7+ years in AI/ML/NLP
Level: Manager

We are looking for an experienced AI/ML Engineering Manager to lead the development and productionization of GenAI, Agentic AI, LLM and NLP solutions for healthcare and life-sciences use cases.

Mandatory Skills & Domain Experience

Must have strong experience in AI/ML + any 3 of the following Life Sciences domains:

  • Clinical Trials
  • FDA Dossier Preparation
  • Drug Discovery
  • LIMS (Lab Information Management Systems) – AI Enablement
  • Lab Diagnostics
  • Lab Testing / Test Codes
  • Patient Schedule Optimization

Technical Requirements

  • GenAI, Agentic AI, LLM & NLP
  • Strong Python, R & SQL
  • LLMs: GPT, Claude, Gemini / Anthropic
  • RAG and vector search – FAISS, Pinecone, Chroma
  • Agentic AI frameworks – LangGraph, AutoGen, CrewAI, Semantic Kernel
  • Prompt Engineering & LLM Evaluation
  • NLP pipelines, embeddings, transformers, seq-to-seq models & domain adaptation
  • ML/DL algorithms and model experimentation
  • Data preprocessing, feature engineering & big-data pipelines
  • LLM inference optimization, latency & throughput
  • Guardrails, filters, monitoring & responsible AI
  • Cloud: Azure / AWS / GCP
  • GPU utilization, repository management & ML experimentation pipelines
  • Production deployment of scalable AI/ML solutions

What You’ll Do

Lead the design, development and deployment of production-grade GenAI/NLP solutions, architect RAG and agentic AI workflows, evaluate emerging LLM technologies, collaborate with engineering and healthcare domain teams, and mentor AI/ML engineers.

Ideal candidates: AI/ML leaders with strong hands-on GenAI/NLP engineering experience + Life Sciences/Healthcare domain expertise.

Interested? Share your updated CV / DM me for more details.

[email protected]

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