Description review
Location: India
Location: India · Remote · back to the listing
HR standards
39/100
poor
Title ↔ description
30/100
poor
Reads as
Machine Learning Engineer
94% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
Large employers
- Applied AI Engineer Automattic
- Machine Learning Engineer, CX Intelligence Coinbase
- AI Engineer - FDE (Forward Deployed Engineer) Databricks
- AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector Databricks
- Senior AI Engineer – Notebooks Datadog
Startups
- Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
- Member of Technical Staff (applied) Anthrogen
- Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Remote: Yes
Willing to relocate: Bengaluru / open to the right opportunity
Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS
Résumé: https://namangupta.dev
Email: [[email protected]](mailto:[email protected])
AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation.
Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments.
Built MCPHub, AgentMesh, and a RAG evaluation harness.
Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products.
GitHub: https://github.com/namanxdev
Willing to relocate: Bengaluru / open to the right opportunity
Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS
Résumé: https://namangupta.dev
Email: [[email protected]](mailto:[email protected])
AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation.
Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments.
Built MCPHub, AgentMesh, and a RAG evaluation harness.
Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products.
GitHub: https://github.com/namanxdev