AI/ML Engineer
Gurgaon · Mid Level
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Job description
AI/ML Engineer
About Fitsol
The role
What you'll do
- Build an AI assistant that reads supplier files (invoices, utility bills, ERP exports, logistics manifests) and extracts data for Scope 1, 2, and 3 emissions calculations.
- Build RAG pipelines over GHG Protocol, emission factor libraries, and ESG frameworks (CDP, DJSI, EcoVadis, BRSR).
- Work on the packaging design tool — computer vision for nesting and overlap detection from 2D images, and 3D modelling for volume, material, and pack-out estimation.
- Build scrapers to fetch emission factors, regulatory data, and public ESG disclosures. Handle anti-bot, pagination, and schema drift.
- Build the data layer that makes scraped and extracted data usable — entity resolution, unit normalisation, schema mapping, confidence scoring, and human review queues.
- Set up evals and monitoring for every model and prompt we ship.
What we're looking for
- 3+ years in production ML/AI. At least 1 year with LLMs in production.
- Strong Python and backend skills (FastAPI or similar).
- Hands-on with Vertex AI, OpenAI, Anthropic, or Bedrock — prompts, function calling, structured outputs.
- RAG end to end — chunking, embeddings, vector stores, retrieval evaluation.
- Document AI — OCR, table extraction, PDF/Excel parsing.
- Computer vision basics — OpenCV, PyTorch or TensorFlow, object detection and segmentation.
- Web scraping at scale — Scrapy, Playwright, or Puppeteer.
- Data wrangling — entity resolution, unit normalisation, schema mapping.
- GCP — Vertex AI, Cloud Run, BigQuery.
- 3D geometry (Trimesh, Open3D, Three.js) or CAD formats.
- Agentic workflows (LangGraph, LlamaIndex or else).
- Interest in ESG, GHG Protocol, or carbon accounting. We will teach the domain.
- React for debug UIs.
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