Senior AI/ML Engineer - Remote, End-to-End ML

DevEngine Ltd.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

DevEngine Ltd. is seeking a Senior AI/ML Engineer to join its international AI/ML team on a fully remote, six-month contract with renewal potential.

You will own AI work end-to-end—from training models to deployment and production integration—on challenging projects for clients worldwide. The role requires 8+ years in software development, with 5+ years in AI/ML, strong Python skills, SQL, and hands-on MLOps experience using frameworks such as TensorFlow or PyTorch.

Qualifications

• 8+ years of software development experience, including 5+ years in AI/ML or data science.
• Cloud platform experience: Azure or similar.
• Strong Python skills.
• Working knowledge of SQL.
• End-to-end ML lifecycle, scalable ML pipelines.
• Experience with ML frameworks (TensorFlow, PyTorch).
• Experience with MLOps tooling.
• Experience using AI coding tools (GitHub Copilot).

Responsibilities

• Participate in designing and developing AI solutions for challenging projects.
• Build production-level ML/AI solutions grounded in software engineering.
• Handle MLOps: automated deployment and monitoring of models and infrastructure.
• Carry out data analysis, including cleaning and transformation.
• Develop and train ML/AI models.
• Put AI models into production: parallelize, optimize, test for production deployment.

Skills

8+ years software development

5+ years AI/ML experience

Python

SQL

ML frameworks TensorFlow

MLOps tooling

GitHub Copilot

Azure cloud

Tools

Azure

Docker

CI/CD

Job description

DevEngine Ltd. is seeking a Senior AI/ML Engineer to join its international AI/ML team on a fully remote, six-month contract with renewal potential.

You will own AI work end-to-end—from training models to deployment and production integration—on challenging projects for clients worldwide. The role requires 8+ years in software development, with 5+ years in AI/ML, strong Python skills, SQL, and hands-on MLOps experience using frameworks such as TensorFlow or PyTorch.