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DataOps/ML Engineer

Bluelight· Engineering
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RemoteFull-TimePosted 11mo ago

About the role

Looking for a DataOps/ML Engineer with 3+ years of Python experience, AWS ML services expertise, and familiarity with ML frameworks and deployment tools to join a remote team focused on innovative technology solutions.

Responsibilities

  • Develop and maintain machine learning applications and infrastructure.
  • Implement monitoring and automation tools for ML workflows.
  • Collaborate on deploying scalable solutions using container technologies and automation pipelines.

Qualifications

  • Strong computer science or engineering background.
  • 3+ years of coding experience with Python.
  • Advanced knowledge of AWS services including SageMaker and Step Functions.
  • Familiarity with TensorFlow, PyTorch, or scikit-learn.
  • Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
  • Knowledge of infrastructure and container technologies (Terraform, Docker, Kubernetes).
  • Experience with deployment pipeline tools (GitLab CI/CD, Jenkins, AWS CodePipeline).

Skills

Required:PythonAWS Services (SageMaker, Step Functions)TensorFlow, PyTorch, scikit-learnMLflow, SagaMaker PipelinesTerraform, Docker, KubernetesGitLab CI/CD, Jenkins, AWS CodePipeline

Benefits

  • Competitive salary and bonuses, including performance-based increases.
  • Generous paid-time-off policy.
  • Flexible working hours.
  • Remote work opportunity.
  • Continuing education, training, conferences.
  • Company-sponsored coursework, exams, and certifications.
Last updated Dec 7, 2025. Interested? Apply on the company site.

About Bluelight

Leading Nearshore Software Development Company

Easily find highly skilled, carefully vetted Nearshore Tech Talent ready to take your most important software development projects from concept to reality.

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