Ml Engineer

Virtual Drive on Saturday, 17th October 2026

Please apply only if you are willing to attend the virtual interview with HCL

Job Title - AI/ML Engineer - GenAI & Vertex AI

Loc - Pan India

Exp - 9-12 years

TECHNICAL JOB DESCRIPTION

• Use Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer
• Use Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope
• Use Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope
• Apply including experience with relevant frameworks e.g as additional skill requirements for this demand
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role
• Own technical design decisions, code and configuration reviews, and standards for the above tools

FUNCTIONAL JOB DESCRIPTION

• Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting
• Lead stakeholder alignment, prioritization, and cross-team dependency resolution
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams
• Bring approximately 7 to 10 years of relevant industry experience aligned to the Senior Engineer band, with a track record of delivery in similar engagements
• Apply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.