AI Lead Engineer

Qualifications

• 15+ years of experience in AI & Machine Learning (ML)
• Strong expertise in Deep Learning and Generative AI (GenAI)
• Proficient in working with Large Language Models (LLMs)
• Experience with Prompt Engineering and Retrieval-Augmented Generation (RAG)
• Skilled in embedding techniques and managing vector databases
• Proficiency in Python programming and ML libraries (TensorFlow, PyTorch, Scikit-learn)
• Knowledgeable in MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes)

Responsibilities

• Lead the development and deployment of AI models across various applications
• Collaborate with cross-functional teams to integrate AI solutions
• Manage model training, validation, and evaluation processes
• Implement best practices in data preprocessing and feature engineering
• Oversee AI model productionization and ensure quality assurance
• Ensure compliance with security and responsible AI practices
• Drive continuous improvement of AI/ML methodologies within the organization

Benefits

• Remote work flexibility
• Collaborative and innovative work environment
• Opportunities for professional development and growth
• Access to advanced technology and resources
• Involvement in cutting-edge AI projects