Machine Learning Engineer

Machine Learning Engineer

Posted Today by AIT Global, Inc.

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Negotiable
Undetermined
Remote
Remote
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Automation Azure Databricks Cloud Computing Cloud Technology Containerisation Databricks DevOps Extract Transform Load (ETL) Git (Version Control System) Jenkins Machine Learning Management Microsoft Azure Pandas (Python Package) Perforce Python (Programming Language) PyTorch (Machine Learning Library) Scikit-learn (Machine Learning Library) SQL (Programming Language) Workflows

Summary: The Machine Learning Engineer role focuses on leveraging expertise in ML Ops, DevOps, and platform engineering to develop and deploy machine learning models. Candidates are expected to have a strong background in Python and experience with cloud platforms like Databricks and Azure. The position is fully remote and requires a minimum of three years of relevant experience. Proficiency in various machine learning tools and frameworks is essential for success in this role.

Key Responsibilities:

  • Minimum 3+ years of relevant experience required.
  • Background in ML Ops, DevOps, platform engineering, or related fields.
  • Machine Learning Tools & Frameworks: ML flow, scikit learn, pandas, PyTorch, Hugging Face ecosystems.
  • Strong proficiency in Python for ML and automation REQUIRED.
  • Cloud Platforms: Experience with Databricks and Azure REQUIRED.
  • CI/CD: Jenkins, Git, Perforce, and automated testing frameworks.
  • Data Engineering: SQL, ETL pipelines, data orchestration, feature store management.
  • ML Ops: Model development, deployment, versioning, monitoring, retraining workflows.
  • Infrastructure: Containerization, orchestration, and optimization of production systems.

Key Skills:

  • Minimum 3+ years of relevant experience.
  • Background in ML Ops, DevOps, platform engineering, or related fields.
  • Machine Learning Tools & Frameworks: ML flow, scikit learn, pandas, PyTorch, Hugging Face ecosystems.
  • Strong proficiency in Python for ML and automation REQUIRED.
  • Cloud Platforms: Experience with Databricks and Azure REQUIRED.
  • CI/CD: Jenkins, Git, Perforce, and automated testing frameworks.
  • Data Engineering: SQL, ETL pipelines, data orchestration, feature store management.
  • ML Ops: Model development, deployment, versioning, monitoring, retraining workflows.
  • Infrastructure: Containerization, orchestration, and optimization of production systems.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Job Title: Machine Learning Engineer
Location: Remote
  • Minimum 3+ years of relevant experience required.
  • Background in ML Ops, DevOps, platform engineering, or related fields
  • Machine Learning Tools & Frameworks: ML flow, scikit learn, pandas, PyTorch, Hugging Face ecosystems.
  • Strong proficiency in Python for ML and automation REQUIRED.
  • Cloud Platforms: Experience with Databricks and Azure REQUIRED.
  • CI/CD: Jenkins, Git, Perforce, and automated testing frameworks.
  • Data Engineering: SQL, ETL pipelines, data orchestration, feature store management.
  • ML Ops: Model development, deployment, versioning, monitoring, retraining workflows.
  • Infrastructure: Containerization, orchestration, and optimization of production systems.
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