Senior Machine Learning Engineer
Core
Build production-grade machine learning solutions and architectures on Google Cloud for clients, translating vague requirements into scalable models and GenAI applications.
Role type
Senior Machine Learning Engineer (Consulting/Client-facing)
Builds
Production ML models, GenAI solutions, and data-driven software on Google Cloud
Domain
AI & Data Engineering on Google Cloud
Deliverable
production ML models | product features | client delivery
Required skills
Python, Machine Learning fundamentals, Model optimization, MLOps, 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
Google Cloud, AWS, Azure, Python, SQL, Flask, GPUs
Responsibilities
Interpret vague requirements and develop models to solve real-world problems; Conduct ML experiments using programming languages and libraries; Leverage generative AI to develop innovative solutions; Optimize machine learning solutions for performance and scalability; Implement tailored machine learning code; Ensure efficient data flow between databases and backend systems; Automate ML workflows focusing on testing and reproducibility; Create machine learning architectures using Google Cloud tools; Build and deploy production-grade software for machine learning solutions.
Seniority
Senior, hands-on IC with client leadership
