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 in AWS SageMaker, cloud-based ML infrastructure
* Expert-level understanding of time series data modeling
* Proficiency in containerization (Docker)
* Strong capabilities with AWS CDK(or Terraform) and workflow management tools
Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling