Senior AI/ML Engineer

Cyient Limited; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cyient Limited is seeking a Senior AI/ML Engineer to lead the design, development and deployment of scalable AI solutions, with focus on computer vision, NLP, and data engineering.

You will own end-to-end AI/ML pipelines, collaborate globally, and drive MLOps, model training, validation and deployment using TensorFlow, PyTorch, and Azure ML.

Azure expertise preferred; AWS experience welcome; knowledge of REST APIs and CI/CD for ML is a plus.

Qualifications

• Strong expertise in computer vision, OCR, and NLP.
• Experience with Azure cloud; AWS preferred.
• ML engineering including MLOps and CI/CD.
• Experience with LLMs and RAG pipelines is a plus.

Responsibilities

• Develop models for image processing, object detection, document parsing, and information extraction.
• Lead end-to-end projects: data collection, preprocessing, annotation, model building, training, validation, and deployment.
• Apply frameworks like TensorFlow, PyTorch, and integrate with REST APIs.
• Design and maintain CI/CD workflows for ML pipelines.
• Guide junior team members and conduct code reviews.
• Collaborate globally on end-to-end AI projects from data collection to deployment.

Skills

Computer Vision

NLP

OCR

Document Intelligence

Azure

AWS

MLOps

CI/CD

Annotation tooling

ML deployment

LLMs

RAG pipelines

Prompt engineering

Tools

TensorFlow

PyTorch

Azure ML

ADLS

Azure Functions

REST APIs

Job description

We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of scalable AI solutions. This role

requires expertise in computer vision, NLP, data engineering, and cloud services (Azure preferred). You will collaborate globally and take

ownership of end-to-end AI/ML pipelines, contributing to strategic product initiatives.

Key Responsibilities

• Develop models for Image Processing, Object Detection, Document Parsing, and Information Extraction
• Lead end-to-end projects: data collection, preprocessing, annotation, model building, training, validation, and deployment.
• Apply frameworks like TensorFlow, PyTorch, and integrate with REST APIs and other digital sources.
• Design and maintain CI/CD workflows for ML pipelines.
• Guide junior team members, conduct code reviews, and drive best practices.
• Proven track record of independently developing and driving multiple end to end AI projects, right from data collection, data annotation, model
• training and deployment, with global collaboration.

Must-Have Skills

• Deep experience in Computer Vision, OCR, Document Intelligence, and NLP.
• Cloud platforms: Azure (preferred), AWS – with services like Azure ML, ADLS, Azure Functions, etc.
• ML engineering: MLOps, CI/CD, annotation tooling, and ML deployment practices.
• Experience with LLMs, RAG pipelines, and prompt engineering (bonus).

Preferred Qualifications

• Experience with Azure AI services like Form Recognizer, Custom Vision, Text Analytics.
• Strong problem-solving and debugging skills.