Description

You will build and maintain solutions for AI/ML/GenAI systems.

Responsibilities

• Code solutions and unit tests to meet acceptance and compliance criteria.
• Design, develop, and modify architecture components and application interfaces while maintaining architectural integrity.
• Mentor engineers and coach the team on CI/CD practices and tool automation.
• Execute story refinement, requirement definition, and work estimation across the delivery lifecycle.
• Automate manual release activities and design/maintain automated test suites (integration, regression, performance).

Required Skills

• 5+ years OOP development experience in Python, Scala, or Java.
• Expert-level development skills in OOP paradigms.
• Hands-on experience with AI/ML/GenAI Lifecycle Management and its Ecosystem.
• Experience building MLOps frameworks, Fine-Tuning techniques, and Inference Frameworks.
• Experience deploying models using vLLM/Triton Inference Server in production containers with automation.
• Proficiency in Continuous Integration and Continuous Development (CI-CD) activities.
• Hands-on knowledge of generative AI RAG processes (chunking, embedding, retrieval, reranking, summarization).
• Experience with MongoDB, Redis, Angular/React, and building API-based applications using FAST API services.
• Strong automation, scripting, and Python development skills.

Key Skills

Education

Any Graduate