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Lead - AI Engineer

6 - 10 years

12 - 17 Lacs

chennai

Posted:-1 days ago| Platform: Naukri logo

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Skills Required

c++ rdbms bfsi hipaa data structures healthcare monitoring python logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

ql-editor "> Role Summary
We re looking for a

hands-on Lead AI Engineer (6-10 years)

who can:
Lead design and delivery of

LLM G Document AI

solutions end-to-end
Own

AI services in production

(APIs, pipelines, monitoring)
Mentor a team of AI engineers and

work directly with clients

(US C 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, CA, 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 AI / DL / NLP

in production environments.
Proven experience taking AI 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

AI / NLP / LLMs

- classification, NER, A, 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 of

AWS or GCP

.
Good S L skills and experience with at least one

RDBMS

(PostgreS L/MyS L).
Understanding of

MLOps in production

- monitoring, logging, model versioning, rollback, performance C cost optimisation.
Soft Skills
Excellent

spoken and written English

; able to explain complex ideas to non- technical 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 overlaps

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, WCB, etc.).
Exposure to

security G 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.



Required Skills


Team Spirit
Team Leadership
To be an Assertive Communicator
Striving for Excellence




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