Job Responsibilities
• Develop and maintain AI application and ML models for tasks including natural language processing, computer vision ensuring high performance and scalability, with a strong focus on building and optimizing Retrieval-Augmented Generation (RAG) applications using Azure AI Search or related tools for efficient information retrieval and indexing.
• Research, design, and implement agentic AI workflows, enabling autonomous agents to handle complex, multi-step tasks through tool integration and decision-making logic.
• Explore and prototype latest AI and ML concepts, such as the Model Context Protocol (MCP), to enhance application interoperability and functionality.
• Conduct performance tuning, A/B testing, and monitoring of AI and ML systems in production environments, deploying solutions on OpenShift for containerized orchestration.
• Collaborate with software engineers to embed AI and ML capabilities into web /mobile applications, using Python for scripting, automation, and model development in prototype level
• Document technical designs, contribute to code reviews, and maintain best practices in AI and ML.
Requirements / Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• 1+ years of professional experience in Data Science and Machine Learning or enterprise application development
• Experience in AI engineering or software development with AI components is advantage.
• Strong experience with cloud platforms (AWS, GCP, or Azure) for deploying AI and ML workloads, with specific hands-on knowledge of Azure AI Search and Copilot Studio for RAG and agentic implementations is a plus
• Excellent problem-solving skills and ability to work in agile environments.
• Strong communication skills, with the ability to explain complex AI and ML concepts to non-technical stakeholders.
• Experience with vector databases or knowledge graphs for RAG is a plus
