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 understandingand 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-premenvironments using Python, Docker and CI / CD.
Work directly with client stakeholders to refine requirements, present solutionsand handle reviews / clarifications.
Act as technical lead on 2–3 AI projects, guide the team on architecture, designand best practices.
Mentor junior ML engineers via code reviews, design discussions and technicalcoaching.
Design with security, privacy and cost in mind, especially for data-sensitivedomains (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, notmandatory.
Education
Bachelor’s degree in Computer Science / Engineering / relatedfield (mandatory).
Master’s degree is a plus