MLOps and Backend Engineer

3 weeks ago

Bangalore, India Energy ETA Full time

Company Overview: EnergyETA a growing start-up at the forefront of driving NetZero goals through Artificial Intelligence for commercial buildings. Our mission is to leverage cutting-edge AI technologies to optimize energy consumption, reduce carbon footprints, and accelerate the transition to sustainable building operations. We are revolutionizing energy management in commercial buildings and empowering organizations to meet their sustainability goals efficiently and economically.

Position: MLOps and Backend Engineer

Location: Bangalore

Employment Type: Full-time

Role Overview: We are seeking a dynamic and motivated MLOps and Backend Engineer to join our growing engineering team. As an MLOps and Backend Engineer at EnergyETA, you will be pivotal in designing, developing, and maintaining the backend infrastructure and AI-powered systems that drive 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 is 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:

  • Develop and implement MLOps pipelines for the deployment, monitoring, and scaling of 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 to have: Experience working with NodejS or MLOps tools like Tensoflow, 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 NodeJS 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.

Preferred Skills:

  • Experience with serverless computing frameworks and cloud-based ML infrastructure.
  • Familiarity with energy systems, IoT, or commercial building operations is a plus.
  • Knowledge of energy optimization algorithms and systems for commercial buildings.
  • Familiarity with data visualization tools for monitoring and reporting on energy efficiency.

What We Offer:

  • Competitive salary
  • 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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