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AI/ML & Data Engineer - Congruent Software

4 - 6 years

0 Lacs

chennai tamil nadu india

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

ai ml data software finance preprocessing html extraction parsing normalization summarization regulations engineering design retrieval neo4j querying annotation training model versioning evaluation api integration rest fastapi python sql openai tuning airflow kafka ocr tesseract pdfminer mlflow docker

Work Mode

On-site

Job Type

Full Time

Job Description

Location:

Chennai

Experience:

4-6 years in ML/NLP, preferably in document-heavy domains (finance, legal, policy)

Key Responsibilities

  • Data Ingestion and Preprocessing: Ability to build and maintain data pipelines to ingest unstructured data from PDFs, gazettes, HTML circulars etc. and process data extraction, parsing, and normalization.
  • NLP & LLM Modeling: Ability to fine-tune or prompt-tune LLMs for summarization, classification, and change detection in regulations. Ability to develop embeddings for semantic similarity.
  • Knowledge Graph Engineering: Ability to design entity relationships (regulation, control, policy) and implement retrieval over Neo4j or similar graph DBs.
  • Information Retrieval (RAG): Ability to build RAG pipelines for natural language querying of regulations.
  • Annotation and Validation: Ability to annotate training data by collaborating with SMEs and validate model outputs.
  • MLOps: Ability to build CI/CD for model retraining, versioning, and evaluation (precision, recall, BLEU, etc.).
  • API and Integration: Ability to expose ML models as REST APIs (FastAPI) for integration with product frontend.

Skills

  • Languages: Python, SQL
  • AI/ML/NLP: Hugging face transformers, OpenAI API, Spacy, Scikit-Learn, LangChain, RAG, LLM prompt-tuning, LLM fine-tuning
  • Vector Search: Pinecone, Weaviate, FAISS
  • Data Engineering: Airflow, Kafka, OCR (Tesseract, pdfminer)
  • MLOps: MLflow, Docker

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