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Stanga1

ML Ops

ApplyКандидатствай
Fully Remote - Data Science Fully Remote

Обявата е публикувана в следните категории

Data Science 234 ML/AI/Data modelling 100
  • Anywhere
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    Tech Stack / Изисквания

    Requirements

    • 3+ years of software development experience in Python
    • Strong experience with AWS Cloud services (Lambda, S3, ECS, EKS, EC2, etc.)
    • Expertise in Kubernetes & Docker for containerized ML model deployments
    • Experience in orchestrating Machine Learning solutions for large-scale production
    • Deep understanding of CI/CD pipelines for ML models (GitHub Actions, etc.)
    • Experience in Machine Learning Orchestration ( data version control, ML flow)
    • Experience with ML Model Monitoring (e.g., Seldon, Grafana)
    • Knowledge of Data Engineering Tools ( Airflow, Spark, or similar)
    • Independence & Proactiveness A self-starter approach who pushes boundaries and drives projects to completion
    • Strong Communication & Leadership Skills Ability to work across teams and drive ML Ops best practices
    • Experience with MLOps frameworks (clearML / SageMaker / W&B) – advantage
    • Experience with TensorFlow – advantage
    • Familiarity with GPU-based model deployment and optimization – advantage
    • Background in computer vision and deep learning workflows – advantage
    • MB.Sc. in Computer Science or equivalent – advantage

    Responsibilities

    • Collaborate with machine learning engineers and data managers to improve, validate, and deploy ML models at a large scale
    • Design and implement large-scale data pipelines using cloud computing
    • Design, and implement, and deploy large-scale pipelines for ML models in production
    • Maintenance and monitoring of performance and reliability and scalability
    • Work with us to constantly grow and improve our ML workflows, tools, and data with us, to keep improving our ML and data tools and workflows.

    Why us

    • Diversity of Domain & Businesses
    • Variety of technology
    • Health & Legal support
    • Active professional community
    • Continuous education and growing
    • Flexible schedule
    • Remote work
    Кандидатствай