Remote Principal ML Platform Engineer for Scalable AI

DevOpsChat; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Comprehensive benefits

Remote-friendly environment

Job summary

Jobicy seeks a Principal ML Platform Engineer to advance our machine learning platform and boost developer productivity. You will lead initiatives in model development, deployment, and monitoring, collaborating with data scientists and engineers to translate requirements into scalable solutions.

Applicants should have deep experience with Python, TensorFlow, PyTorch, and cloud-based CI/CD and container orchestration.

Qualifications

• Advanced knowledge of ML platform design and tooling.
• Experience collaborating with data scientists and engineers.

Responsibilities

• Lead ML platform initiatives to improve developer productivity.
• Define requirements with stakeholders and translate into scalable solutions.
• Build robust frameworks for model monitoring and evaluation.
• Guide team in implementing scalable ML deployment pipelines.
• Optimize systems for performance, reliability, and cost.

Skills

ML platform leadership

Python

CI/CD

Docker/Kubernetes

Model monitoring

Performance evaluation

Cloud services

cross-functional collaboration

Education

Master's degree in CS/ML/Engineering

PhD (nice to have)

Tools

TensorFlow

PyTorch

Docker

Kubernetes

CI/CD tools

Job description

Jobicy seeks a Principal ML Platform Engineer to advance our machine learning platform and boost developer productivity. You will lead initiatives in model development, deployment, and monitoring, collaborating with data scientists and engineers to translate requirements into scalable solutions.

Applicants should have deep experience with Python, TensorFlow, PyTorch, and cloud-based CI/CD and container orchestration.