Senior ML Engineer
Core
Build production-grade AI and data-driven solutions using machine learning, GenAI, and MLOps on Google Cloud for enterprise clients.
Role type
Senior Machine Learning Engineer (Consulting/Client-facing)
Builds
Production ML models, GenAI solutions, and scalable data pipelines for client engagements
Domain
AI & Data Engineering on Google Cloud Platform
Deliverable
production ML models | product features | client delivery
Required skills
Python, Machine Learning fundamentals, MLOps, Model optimization, SQL, Cloud platforms (GCP/AWS/Azure), Software engineering, Distributed computing (GPU)
Preferred skills
Consulting background, Generative AI experience, CI/CD pipelines, Web services integration (Flask)
Technologies
Python, Google Cloud Platform, AWS, Azure, SQL, Flask, CI/CD, GPUs
Responsibilities
Translate vague requirements into ML models, conduct ML experiments, optimize solutions for performance/scalability, design ML architectures, build production software, ensure efficient data flow, automate ML workflows
Seniority
Senior, hands-on IC with client leadership
