Overview

AI Lead Engineer AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or simila

Responsibilities

• Lead the design and development of AI-driven applications, focusing on RAG-based chatbot solutions
• Architect robust solutions in Python and Java ensuring scalability, reliability, and maintainability
• Deploy, manage, and scale AI applications on AWS using EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway
• Collaborate with cross-functional teams to define requirements, project scopes, and delivery timelines
• Mentor and guide team members on AI methodologies, best coding practices, and cloud deployments
• Conduct thorough testing, debugging, performance tuning, and documentation to ensure high-quality delivery
• Stay updated on emerging AI technologies and recommend cutting-edge solutions for business problems

Qualifications

• 5+ years of professional experience in AI/Machine Learning engineering
• Proven hands-on experience building RAG-based chatbots or generative AI applications
• Strong programming skills in Python and Java
• Proficiency in AWS (EC2, Lambda, SageMaker, DynamoDB, CloudWatch, API Gateway)
• Solid understanding of NLP, vector databases, embedding models, a .

Education

• Bachelors or Masters degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or related fields