Generative ai engineer (Nellore)

Generative ai engineer (Nellore)

27 Mar
|
Deltacubes
|
Nellore

27 Mar

Deltacubes

Nellore

AI & LLM Expertise
12+ years in AI/ML with at least 3 years hands-on LLM and Gen AI development.
Strong experience with LLM APIs — Open AI GPT-4o, Anthropic Claude, LLa MA, Google Gemini.
Hands-on RAG architecture — vector databases (Pinecone, Weaviate, Chroma DB), chunking, reranking, hybrid search.
Agentic AI frameworks — Lang Chain, Llama Index, Auto Gen, or Crew AI.
LLM fine-tuning using Lo RA / QLo RA / PEFT on domain-specific datasets.
Prompt engineering — chain-of-thought, few-shot, instruction tuning for clinical contexts.
Healthcare Domain (Must Have)
Strong knowledge of healthcare data — EHR/EMR, clinical notes, lab results, imaging, and claims.
Proficiency in interoperability standards — HL7, FHIR R4, DICOM, ICD-10, SNOMED CT, LOINC.
HIPAA compliance expertise — PHI handling,



de-identification, and audit controls.
Familiarity with FDA AI/ML Sa MD guidelines and Gx P compliance for life sciences.
Experience with clinical NLP — medical entity extraction, summarisation, and coding automation.
Architecture & Platform
Cloud AI platforms — AWS Sage Maker / Bedrock, Azure Open AI / ML, GCP Vertex AI.
MLOps — MLflow, Weights & Biases, CI/CD for ML, model drift monitoring.
Containerisation and orchestration — Docker, Kubernetes, model serving (Fast API, Triton).
Python (expert), SQL (robust), REST API design, Spark for healthcare data pipelines.

📌 Generative ai engineer (Nellore)
🏢 Deltacubes
📍 Nellore

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