Data Science Engineer for Renewable Energy

2 days ago


Islamabad, Islamabad, Pakistan EcoEdge AI Full time

EcoEdge AI is a leader in sustainability, utilizing advanced AI and machine learning to optimize HVAC systems, reduce energy consumption, and lower carbon emissions.

Our technology integrates seamlessly with existing building automation systems, making it easy to deploy and driving energy efficiency across various types of buildings.

We are looking for a motivated and talented MLOps Engineer to join our team. This role is ideal for someone with a strong foundation in Python, FastAPI, Docker, and model lifecycle management, particularly in the deep learning domain.

The successful candidate will be responsible for managing end-to-end model lifecycle, including checkpointing, versioning, and monitoring for deep learning models.

They will also implement and monitor model drift detection techniques to maintain model accuracy over time.

Key Responsibilities:
  • Develop, manage, and optimize APIs using FastAPI for seamless integration and deployment of ML models into production environments.
  • Ensure APIs are robust, secure, and scalable.

Requirements:

  • Education: Bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience: 2+ years of hands-on experience in an MLOps or related engineering role.
  • Technical Skills:
  • Programming: Proficiency in Python, with the ability to write production-grade code.
  • API Management: Solid experience with FastAPI and API development.
  • Containerization: Hands-on experience with Docker, including container management, orchestration, and optimization.
  • Model Lifecycle Management: Familiarity with deep learning model checkpointing, versioning, and drift detection.
  • Operating System: Strong knowledge of Linux environments and shell scripting.

Benefits:

  • Competitive compensation and benefits.
  • Equal opportunity provider.


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