Senior AI/ML Engineer

Cyient · Hyderabad

Source and collection record

Last observed by our collector: 8 October 2026 at 11:18 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: JR-073577

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role 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 Architect and deploy AI/ML pipelines using Azure (Azure ML, Databricks, Cognitive Services, ADLS, etc.) 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 Python, C++, SQL, Elasticsearch, LiteDB 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.