ML Engineer: Build & Deploy Production Models (SF)

Northwind Summit Solutions; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Northwind Summit Solutions in San Francisco, CA is seeking a Machine Learning Engineer to design, develop, and deploy ML models that tackle real business problems. You will work with data scientists, software engineers, and product managers to translate requirements into scalable, production-ready solutions.

The role emphasizes staying current with ML/AI advances, mentoring junior teammates, and delivering high-quality, innovative products in a modern office environment.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3-5 years of experience in machine learning engineering.
• Strong programming skills in Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with SQL and NoSQL databases.

Responsibilities

• Design, develop, and deploy machine learning models to solve business problems.
• Collaborate with data scientists, software engineers, and product managers to translate requirements into solutions.
• Optimize machine learning models for performance and scalability.
• Monitor and maintain models in production environments.
• Stay up-to-date with advances in ML/AI and mentor juniors.

Skills

3-5 years ML experience

Python/Java/R

Education

Bachelor's in CS/Statistics/Math or related

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Google Cloud

Azure

SQL

NoSQL

Job description

Northwind Summit Solutions in San Francisco, CA is seeking a Machine Learning Engineer to design, develop, and deploy ML models that tackle real business problems. You will work with data scientists, software engineers, and product managers to translate requirements into scalable, production-ready solutions.

The role emphasizes staying current with ML/AI advances, mentoring junior teammates, and delivering high-quality, innovative products in a modern office environment.