Remote Python ML Engineer — Production ML Systems

Parailabs; San Francisco (CA); Hybrid; USD 83,000 - 165,000; Part time

Benefits offered by this job

Work fully remote

Cutting-edge AI projects

Job summary

Turing is seeking an ML Developer to lead the design, development, and delivery of advanced ML solutions. The role combines individual contribution with technical leadership, mentoring teammates, and aligning ML initiatives with business goals.

The ideal candidate has strong ML experience, a background in research-style benchmarks, and can own data pipelines through production deployment while staying current with AI advancements.

Qualifications

• Bachelor's or Master's degree in Computer Science, ML, AI, Statistics, or a related quantitative field
• 4+ years of hands-on DS/ML development experience
• Proficiency in Python and core libraries

Responsibilities

• Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring
• Translate business objectives into robust ML architectures
• Collaborate cross-functionally with Product, Engineering, and Business stakeholders
• Evaluate and optimize models for performance, scalability, and accuracy
• Stay current with AI/ML research and apply innovations

Skills

ML development

Mentoring

Cross-functional collaboration

Model evaluation

Production ML systems

Data preprocessing

Education

Bachelor's or Master's in Computer Science, ML, AI, Statistics

Tools

Python

Pandas

NumPy

Scikit-learn

PySpark

Databricks

AWS

Job description

Turing is seeking an ML Developer to lead the design, development, and delivery of advanced ML solutions. The role combines individual contribution with technical leadership, mentoring teammates, and aligning ML initiatives with business goals.

The ideal candidate has strong ML experience, a background in research-style benchmarks, and can own data pipelines through production deployment while staying current with AI advancements.