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Senior Machine Learning Engineer

Permanent Opportunity

Fully Remote Working


Job Overview:

Machine Learning Engineer (AWS & Time Series Specialization)

We're seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities.


Key Responsibilities

  • Design and deploy advanced machine learning models using AWS SageMaker
  • Architect robust ML infrastructure and production pipelines
  • Implement model management strategies with MLflow/Metaflow
  • Develop sophisticated time series forecasting solutions
  • Leverage containerization technologies to ensure scalable, efficient deployments


Required Expertise

  • Proven experience deploying ML models in production environments
  • Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect, Dagster, BentoML - Essential*
  • Advanced skills inAWS SageMaker, cloud-based ML infrastructure
  • Expert-level understanding of time series data modeling
  • Proficiency in containerization (Docker)
  • Strong capabilities withAWS CDK(or Terraform) and workflow management tools


Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling

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