Senior Technologist

Responsibilities

Design, develop, and deploy AI/ML models for business applications. Build and optimize Machine Learning and Deep Learning pipelines. Develop Generative AI applications using Large Language Models (LLMs) such as GPT, Llama, Claude, and Gemini. Implement Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge management. Fine-tune and evaluate foundation models using domain-specific datasets. Develop AI-powered chatbots, virtual assistants, and recommendation systems. Create APIs and microservices for AI model deployment. Build and maintain MLOps pipelines for model training, monitoring, versioning, and deployment. Optimize model performance, scalability, cost, and latency. Collaborate with product managers, data engineers, software developers, and business stakeholders. Stay current with emerging AI technologies, frameworks, and industry best practices. Ensure AI solutions adhere to security, compliance, governance, and responsible AI standards.

Additional: Technology-AI-AI Engineering-AI/ML Solution Architecture and Design