Responsibilities:

• Design and Develop AI Agents:  Create AI Agent to improve productivity for various departments based on user’s requirement
• Implement RAG Models:  Develop and integrate Retrieval-Augmented Generation models to enhance the accuracy and relevance of AI-generated content.
• Fine-Tune Open-Source Models:  Utilize and fine-tune open-source models from Meta, Google, Deepseek, and Nvidia to optimize AI performance.
• Collaborate with Cross-Functional Teams: Work closely with the stakeholders to ensure AI solutions align with business objectives
• Integrate AI into Existing Systems:  Ensure the seamless integration of AI models into current processes and systems across departments.
• Stay Updated on AI Trends:  Continuously research and implement best practices in AI and machine learning to maintain cutting-edge solutions.
• Troubleshoot and Optimize:  Test, troubleshoot, and optimize AI systems to ensure high performance and reliability.
   

Requirements and Skills:

• Education:  Pursuing PHD or MS in Machine Learning and AI, computer science or related field

Technical Skills:

• Proficiency in programming languages such as Python, Java, R.
• Strong understanding of machine learning frameworks like TensorFlow, PyTorch.
• Experience with RAG models and open-source AI tools.
• Familiarity with CAD software and design principles is a plus

Soft Skills:

• Excellent problem-solving and critical thinking abilities.
• Strong communication skills to explain complex AI concepts to non-technical stakeholders.
• Ability to work collaboratively in a team environment.