Machine Learning Engineer

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