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Job Title: ML Engineer Job Location: Remote Job Type: Contract - Southfield, MI

Quick Facts
Company Name:Global Information Technology
Location:Southfield, MI
Employment Type:Contract
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Job Description:
  • Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology.
  • Work with other Software and ML Engineers to tackle challenging AI problems.
  • Participate in Pair Programming for cross training/upskilling, problem solving, and speed to delivery.
  • Leverage latest ML and GCP technologies.
  • Work with Architects to make technical decision on tools, integration, and other issues.
  • Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform
  • Collaborate with other software engineers to understand platform vision, break out tasks and help them solve complex issues.
  • Grow technical capabilities / expertise and provide guidance to other software engineers on the team.


  • Experience working with Google Cloud platform
  • Experience in delivering machine learning software products using iterative approach.
  • Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc.
  • Experience in supporting continuous improvement by investigating development alternatives.
  • Experience using Machine Learning tools (pytorch, tensorflow, xgboost etc).
  • Experience applying Agile practices to solution delivery.
  • Experience in all phases of the development lifecycle.
  • Must be team-oriented and have excellent communication and presentation skills.
  • Knowledge of coding and best practices.
  • Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.
  • 1+ years of experience with Machine Learning Technologies.
  • 2+ years of work experience as a software engineer with exceptional software engineering knowledge.
  • Experience and good understanding of Machine Learning / Python / Java / Google Cloud / DevOps / CICD
  • Understanding or desire to learn end to end Machine Learning technology stack (Tools such as Domino Data Labs, Kubeflow, Kubernetes, Seldon Core, GCP, Jupyter Notebook, HPC, Hive, Hadoop, etc).
  • Good understanding of cloud design considerations and limitations and impact of pricing.
  • Prior experience working: container technology, docker files, docker images, GitHub, CI/CD concepts.

Interested candidates can send their updated resumes at

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