Qualifications

• Bachelor's degree or higher in computer science engineering
• 3+ years of experience in AI and ML roles
• Hands-on experience with Generative AI and tuning LLMs
• Experience in deploying enterprise-level solutions using frameworks like Langgraph and Google ADK
• Familiarity with both open-source and OpenAI LLMs and RAG architecture
• Proficiency in Python, PyTorch, SQL, and related programming languages
• Experience with cloud environments such as Azure, AWS, and GCP

Responsibilities

• Implement AI/ML projects and develop Generative AI applications
• Fine-tune Language Learning Models (LLMs) and integrate retrieval-augmented generation (RAG) techniques
• Deploy agent-based solutions using leading open-source frameworks
• Work with vector databases and create structured outputs through Document AI and OCR
• Utilize machine learning techniques across various domains including deep learning and NLP
• Design and implement APIs and develop user interfaces with tools like Streamlit and Flask
• Conduct analysis to identify issues and develop actionable solutions

Benefits

• Opportunity to work with cutting-edge Generative AI technologies
• Collaborative environment fostering innovation and knowledge-sharing
• Access to continuous professional development and learning resources
• Flexible work arrangements to promote work-life balance
• Involvement in diverse AI projects with a strong impact on the organization