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DataOps/ML Engineer

Bluelight· Engineering
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RemoteFull-timePosted 11mo ago

About the role

Seeking a DataOps/ML Engineer with expertise in Python, AWS ML services, and container technologies to join a software consultancy focused on innovative, high-quality applications in a remote setting across Latin America.

Responsibilities

  • Develop and deploy high-quality applications in a fast-paced environment.
  • Contribute to challenging projects for diverse clients.
  • Implement and maintain ML monitoring and automation tools.
  • Collaborate with team members to deliver innovative solutions.

Qualifications

  • Strong background in computer science or engineering.
  • 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).
  • Experience with infrastructure and container technologies (Terraform, Docker, Kubernetes).
  • Knowledge of deployment automation tools (GitLab CI/CD, Jenkins, AWS CodePipeline).

Skills

Required:PythonAWS ML Services (SageMaker, Step Functions)TensorFlow, PyTorch, scikit-learnML monitoring and automation tools (MLflow, SagaMaker Pipelines)Infrastructure and container technologies (Terraform, Docker, Kubernetes)Automation tools for deployment (GitLab CI/CD, Jenkins, AWS CodePipeline)

Benefits

  • Competitive salary and bonuses, including performance-based increases.
  • Generous paid-time-off policy.
  • Flexible working hours.
  • Remote work environment.
  • 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

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