Staff Machine Learning Engineer

Pivotal Solutions Inc

San Francisco, CA, United States

15 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Amazon Web Services Batch Processing Data as a Services Data Mining Python (Programming Language) Machine Learning Software Engineering Feature Engineering Flask (Web Framework) Fastapi Pandas Scikit Learn

+2 more

Information Technology Machine Learning Operations

Job description

Collaborate with global teams to deliver high-impact data products for worldwide deployment.
Develop and maintain ML pipelines to optimize critical processes for global lending products, including anti-fraud systems, credit strategy, and marketing optimization.
Enhance and maintain scalable machine learning infrastructure to support robust data product performance.
Mentor engineers and data scientists on best practices in ML engineering, fostering a culture of excellence and knowledge sharing.
Lead data product development from ideation through to large-scale deployment, ensuring end-to-end execution.

Requirements

PhD or Master’s degree in Computer Science, Statistics, Engineering, or a related field.
5+ years of experience as a Machine Learning Engineer, Data Scientist, or in a closely related role, with a proven track record of delivering impactful solutions.
Deep expertise in machine learning algorithms, frameworks, and the full ML lifecycle, including data extraction, feature engineering, model serving, and monitoring for both live and batch processing.
Strong software design skills with high proficiency in Python and related libraries/frameworks (e.g., Scikit-Learn, Pandas, Flask, FastAPI).
Excellent interpersonal skills, with strong written and verbal communication abilities.
Demonstrated experience with cloud providers (AWS preferred) and associated data services.