Engineering Manager-AI/ML

Role Overview

We are looking for an Engineering Manager-AI/ML to lead the design and architecture of scalable, reliable, and cost-effective Generative AI solutions. The role involves designing RAG pipelines, agentic workflows, and model fine-tuning strategies, as well as building and deploying machine learning pipelines on GCP or equivalent cloud platforms.

What You Will Do

The successful candidate will design, develop, and operationalize existing ML models, evaluate machine learning models, develop prompts for LLM, collaborate with data scientists and engineers, and lead the end-to-end design and architecture of Generative AI solutions.

Why It Might Be a Fit

The ideal candidate will have at least 5 years of experience in designing and building ML/AI applications, 8 years of software engineering experience, and 2 years of experience leading and mentoring ML/data science teams. They will also have expertise in Python, Numpy, Pandas, and various ML libraries, as well as familiarity with Google Cloud or other cloud platforms.

Requirements

• At least 5 years of experience in designing & building ML/AI applications
• At least 8 years of Software engineering experience
• At least 2 years of experience leading and mentoring ML/data science teams
• Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI
• Expertise in Python, Numpy, Pandas, and various ML libraries
• Familiarity with Google Cloud or other cloud platforms