DataOps/ML Engineer

Summary

Join Bluelight, a leading software consultancy, as we expand our team. This role is perfect for a skilled individual who thrives in a fast-paced environment and values collaboration. You'll contribute to challenging projects, developing high-quality applications using cutting-edge technologies. We offer a supportive environment that encourages continuous learning and professional development, along with competitive benefits. The position requires a strong computer science background, extensive experience with Python and AWS services, and familiarity with various ML tools and technologies. If you're passionate about software development and eager to be part of a growing company, apply today!

Requirements

• Possess a strong computer science or engineering background with 3+ years of coding experience with Python
• Demonstrate advanced knowledge of AWS services, including but not limited to their ML services (AWS SageMaker and AWS Step Functions)
• Be familiar with TensorFlow, PyTorch, or scikit-learn
• Have experience with ML monitoring and automation tools (MLflow, SageMaker Pipelines)
• Possess working experience with infrastructure and container technologies (Terraform, Docker, Kubernetes)
• Have knowledge of tools for automating deployment pipelines (GitLab CI/CD, Jenkins, AWS CodePipeline)

Benefits

• Competitive salary and bonuses, including performance-based salary increases
• Generous paid-time-off policy
• Flexible working hours
• Work remotely
• Continuing education, training, conferences
• Company-sponsored coursework, exams, and certifications