Cloud-Based Machine Learning Engineer
3 weeks ago
Renewable Energy Marketplace Leader Seeks Innovative Senior Machine Learning Engineer
Job Description:
We're seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities and push the boundaries of energy market intelligence.
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.
Requirements:
- Proven experience deploying ML models in production environments.
- Advanced skills in AWS SageMaker and cloud-based ML infrastructure.
- Expert-level understanding of time series data modeling.
- Proficiency in containerization (Docker).
- Strong capabilities with AWS CDK and workflow management tools.
Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling.
Salary Estimate: $120,000 - $180,000 per annum, based on industry standards and location.
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