AI Energy Optimization Engineer

2 days ago

Bengaluru, Karnataka, India Energy ETA Full time

Energy ETA Overview: As a pioneering start-up, Energy ETA is at the forefront of leveraging AI to drive NetZero goals in commercial buildings. Our mission revolves around optimizing energy consumption, reducing carbon footprints, and accelerating the transition to sustainable building operations.

Position: AI Energy Optimization Engineer

Location: Bangalore

Employment Type: Full-time

Job Summary: We seek an accomplished AI Energy Optimization Engineer to join our dynamic engineering team. In this role, you will play a pivotal part in designing, developing, and maintaining backend infrastructure and AI-powered systems for energy optimization in commercial buildings. You will collaborate closely with data scientists, software engineers, and other stakeholders to ensure seamless integration and deployment of machine learning models into production environments.

This presents an exciting opportunity to be part of a mission-driven company committed to driving NetZero goals through AI innovation in the built environment.

Key Responsibilities:

  • Design and implement MLOps pipelines for deploying, monitoring, and scaling machine learning models in production environments.
  • Collaborate with data scientists to ensure smooth model transitions from research to production.
  • Automate the model lifecycle from training to deployment using tools such as Docker, Kubernetes, Jenkins, or CI/CD.
  • Monitor and manage the performance and retraining of deployed machine learning models to ensure continuous improvement.
  • Develop RESTful APIs and microservices that enable seamless integration between AI models, databases, and frontend applications.
  • Collaborate with the frontend engineering team to deliver cohesive user experiences while ensuring optimal performance of the backend systems.
  • Ensure high availability, fault tolerance, and scalability of backend services.
  • Implement and optimize data storage solutions, ensuring efficient data handling and fast access for large datasets relevant to energy optimization.

Qualifications:

  • Bachelor's or Master's Degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Must have: Experience working with Node.js or MLOps tools like TensorFlow, MLflow etc.
  • 2-3+ years of experience in MLOps, backend development, or related roles, with a strong understanding of machine learning systems and cloud infrastructure.
  • Proficiency in backend development with experience in Node.js and Python
  • Hands-on experience with MLOps tools and frameworks such as TensorFlow Extended (TFX), MLflow, Kubeflow, or similar.
  • Experience with containerization (Docker) and orchestration (Kubernetes) for model deployment and management.
  • Expertise in cloud platforms preferable AWS and their associated machine learning and data processing services.
  • Strong problem-solving, debugging, and troubleshooting skills.
  • Excellent communication skills and the ability to collaborate in a fast-paced, remote-first team environment.

Benefits:

  • Competitive salary: ₹35,00,000 - ₹55,00,000 per annum
  • Medical Insurance
  • Opportunity to be part of company equity
  • Opportunity to work on innovative and impactful projects in the sustainability and AI space.
  • A collaborative, mission-driven team passionate about building a NetZero future.
  • Flexible work arrangements and a remote-first work culture.
  • Learning and growth opportunities in a fast-evolving tech landscape.

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