AI/ML Architect

About the role

2026 Google Cloud AI Partner of the Year. This team's work won the Artificial Intelligence category this year, one of four Partner of the Year awards 66degrees has earned. You're joining the top of the Google Cloud AI ecosystem New problem, new client, every 12 to 16 weeks. You build range fast and never spend three years on one system

What you'll do

• Design the architecture for each engagement: data pipelines, classical ML, agentic and generative AI, and the production path on Google Cloud
• Write and review the code that matters: core logic, orchestration, evaluation, the parts an engineer shouldn't be guessing at
• Take systems to production and own them through handoff: deployment, monitoring, drift, retraining, incident response, and a client who can run it after we leave
• Choose the right approach for the problem, and defend it on cost, explainability, and fit rather than on what's fashionable
• Run a team where engineers raise problems early and are heard when they do

What you need

• Machine learning
• SQL
• Python
• NLP
• Deep learning
• GCP
• B.Sc or B.Tech or B.E. or BCA

Good to have

• AWS
• BigQuery
• Azure
• CI/CD
• ETL
• LLMs