Reo, IN

Salary
Posted
Jun 28, 2026
Location
Reo, IN
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A senior individual-contributor role focused on building and deploying machine learning and generative AI solutions, including LLM-based and RAG architectures, across cloud platforms. The work spans the full lifecycle — data pipelines, model training, MLOps, and integration with enterprise systems — and requires close collaboration with product, engineering, and business teams to turn requirements into production AI services.

Senior level · National · Full-time

Must have (12)
PythonNumPyPandasPyTorch or TensorFlowTransformersLLMsREST APIsAzure, AWS or GCPMLflow, Kubeflow, Azure Ml, Sagemaker or DatabricksPinecone, Chroma, Faiss or Azure Ai SearchDockerKubernetes
Nice to have (2)
RAGCI/CD

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What gives you an edge
Pinecone3%Transformers9%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%Pandas72%NumPy62%Docker53%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $120,230 (middle half $85,660–$158,880).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (8)

Role is located in Gurgaon (Gurugram), Haryana, India (IN-HR-Gurgaon) — not a US-based position; US compensation benchmarks do not apply.

The title 'Snr AI' is abbreviated; interpreted as 'Senior AI [Engineer/Scientist]' based on the 'Snr' prefix and the experienced-hire framing.

No total years of experience are stated anywhere in the posting.

The role sits at the boundary between Data Scientist (ML/LLM modeling focus) and Software Developer (microservices, MLOps, cloud-native deployment); Data Scientist was chosen as primary given the explicit emphasis on model design, NLP, deep learning, and generative AI, with Software Developer as the runner-up.

PyTorch and TensorFlow are listed together in the required skills section; PyTorch is emitted as the primary with TensorFlow as an alternative since the JD treats them as a paired proficiency rather than two independent hard gates.

RAG and CI/CD appear as key responsibilities/architectural patterns rather than in the explicit 'Required Skills & Experience' section, so they are marked preferred.

No compensation information is provided.

This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.

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