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Data Scientist - Machine Learning

Data Scientist - Machine Learning

TalentgigsAgra, IN
1 day ago
Job description

Role Summary

We’re looking for a hands-on Senior ML Engineer (6–10 years) who can :

  • Lead design and delivery of LLM & Document AI solutions end-to-end
  • Own ML services in production (APIs, pipelines, monitoring)
  • Mentor a team of ML engineers and work directly with clients (US & India)

This is a technical leadership role, not a pure manager role.

Key Responsibilities

  • Own the end-to-end lifecycle of AI features – from requirement understanding

    • and solution design to development, deployment and monitoring.

  • Build LLM / RAG-based solutions using vector databases (e.g., pgvector, FAISS,

    • Chroma, OpenSearch) for search, Q&A, extraction and summarization over

    documents.

  • Develop Document AI models / pipelines for OCR post-processing, entity / key–

    • value extraction, classification and layout / table understanding.

  • Deploy models as scalable APIs / microservices in cloud and on-prem

    • environments using Python, Docker and CI / CD.

  • Work directly with client stakeholders to refine requirements, present solutions

    • and handle reviews / clarifications.

  • Act as technical lead on 2–3 AI projects, guide the team on architecture, design

    • and best practices.

  • Mentor junior ML engineers via code reviews, design discussions and technical

    • coaching.

  • Design with security, privacy and cost in mind, especially for data-sensitive

    • domains (BFSI, healthcare, legal, HR).

    Must-Have Requirements Experience

  • 6–10 years total experience, including 4+ years in ML / DL / NLP in production environments.
  • Proven experience taking ML solutions from PoC to production (not just notebooks).

    • Technical Skills

  • Strong in Python and core CS fundamentals (data structures, algorithms, clean code).
  • Hands-on with ML / NLP / LLMs – classification, NER, QA, summarization, document understanding.
  • Experience with some of : PyTorch / TensorFlow / Hugging Face / LangChain / LlamaIndex / spaCy.
  • Built and deployed RESTful ML services / APIs integrated with web or mobile applications.
  • Worked with Docker and CI / CD pipelines; experience on AWS or GCP.
  • Good SQL skills and experience with at least one RDBMS (PostgreSQL / MySQL).
  • Understanding of MLOps in production – monitoring, logging, model versioning, rollback, performance & cost optimisation.

    • Soft Skills

  • Excellent spoken and written English; able to explain complex ideas to nontechnical stakeholders.
  • Comfortable interacting with international clients and leading requirement / review calls.
  • Strong ownership mindset and ability to lead and mentor junior engineers.
  • Willingness to work with partial US time-zone overlap for key meetings when required.

    • Good-to-Have

  • Experience in Logistics, Legal, HR / Recruitment, Healthcare, BFSI, Education,Engineering / Plant drawings.
  • Exposure to Vision Transformers / advanced CV for document layout and OCR enhancement.
  • Experience with experiment tracking tools (MLflow, DVC, W&B, etc.).
  • Exposure to security & compliance (CIS, SOC2, GDPR, HIPAA, PCI-DSS, ITIL).
  • Experience with on-prem / VPC-isolated deployments and data-sensitive environments.
  • Knowledge of a systems language (Go / Rust / C++ / Scala) is a plus, not

    • mandatory.

    Education

  • Bachelor’s degree in Computer Science / Engineering / related

    • field (mandatory).

  • Master’s degree is a plus
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