Staff Machine Learning Engineer — Production ML, Remote

Zest for Tech; United States; Remote; USD 207,000 - 253,000; Full time

Benefits offered by this job

Fully remote across the US

Healthcare, dental and vision coverage

Job summary

Zest for Tech is seeking a Staff Machine Learning Engineer to design, build and deploy production-grade ML systems in a fully remote US role. You will work closely with software and data engineers to move advanced ML challenges from research to deployment, with clear technical ownership.

The position emphasizes applied ML with Python, scalable models, APIs, data pipelines and cloud platforms. You should have extensive experience delivering production ML, including NLP or transformers, and be

Qualifications

• 8+ years of experience designing, building and deploying ML systems.
• Strong proficiency in Python and production software practices.
• Experience deploying ML models into larger production systems.
• Experience with cloud platforms (GCP/AWS/Azure) and data processing.

Responsibilities

• Designing, developing and deploying production-grade ML models and algorithms.
• Building scalable ML systems, integrating models with APIs, data pipelines and backend services.
• Developing and evaluating ML approaches to large datasets and behavioural patterns.
• Experimenting with emerging ML techniques and translating research into practical solutions.
• Driving technical decisions around model development, experimentation and deployment with cross-team collaboration.

Skills

Python

ML systems design

Production deployment

NLP/Transformers

Tools

GCP

AWS

Azure

APIs

Job description

Zest for Tech is seeking a Staff Machine Learning Engineer to design, build and deploy production-grade ML systems in a fully remote US role. You will work closely with software and data engineers to move advanced ML challenges from research to deployment, with clear technical ownership.

The position emphasizes applied ML with Python, scalable models, APIs, data pipelines and cloud platforms. You should have extensive experience delivering production ML, including NLP or transformers, and be