Data scientist

7 days ago

Ajmer, India Talentgigs Full time

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, Open Search) 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 Po C 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: Py Torch / Tensor Flow / Hugging Face / Lang Chain / Llama Index / spa Cy. • 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 (Postgre SQL/My SQL). • 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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