Job description
Skills and Responsibilities:
- Strong foundation in Machine Learning, Deep Learning, NLP, and RAG, with the ability to apply AIML concepts to business use cases.
- Proficiency in Python, including writing reusable, efficient, and testable code, with exposure to Generative AI tools.
- Experience with cloud technologies (AWS, Azure, or GCP) and deploying or integrating models in cloud environments.
- Top 3 Preferred Skills Handson experience with Generative AI tools such as Microsoft Copilot and AI assisted development workflows including RAG
- Familiarity with Java to support hybrid AI development environments.
- Strong analytical and problem-solving skills, with the ability to break down complex problems into practical AI solutions.
- The role involves assisting in the development of Generative AI solutions using Java, Python, and cloud technologies. The candidate will apply machine learning, deep learning, NLP, and Retrieval
- Augmented Generation (RAG) concepts to real business use cases while building reusable, efficient code.
- Responsibilities include supporting AI assisted development, integrating Generative AI tools, leveraging cloud platforms for deployment, and solving complex problems through strong analytical thinking and practical implementation.