Senior ML Engineer

6 days ago

Bangalore Metropolitan Area, India Snaphunt Full time

The Opportunity

We are seeking a skilled Senior ML Ops Engineer to join our team at Sagri, a pioneering AgriTech startup. As a key member of our Data Science team, you will play a pivotal role in shaping our high-impact product driving the future of Agriculture.

The Role

  • Design and implement automated ML pipelines for developing, testing, deploying, and monitoring ML models.
  • Collaborate closely with Data Science and Engineering teams to integrate models into production environments.
  • Develop infrastructure for model versioning, scaling, and serving to ensure high availability and low latency.
  • Establish CI/CD processes for model deployment and data pipelines, ensuring reproducibility and consistency across environments.
  • Monitor model performance, set up logging, and create alert systems for ML models in production.
  • Optimize ML workloads for performance and cost-efficiency in cloud environments (e.g., AWS, GCP, or Azure).
  • Ensure data integrity, compliance, and security standards, especially concerning sensitive agricultural data.
  • Participate in green computing initiatives to minimize the carbon footprint of ML operations.
  • Assist in creating and maintaining a central data platform for collaborative model development and application, ensuring data pipelines and models are well-documented.

The Requirements

  • You possess a Bachelor's degree in Computer Science, Engineering, or a related field.
  • You have 6–7 years of experience in IT, focusing on MLOps, DevOps, or Data Engineering roles.
  • You possess expertise with cloud platforms (AWS, GCP, Azure) and infrastructure as code tools (e.g., Terraform, CloudFormation).
  • You demonstrate hands-on experience with Kubernetes or other container orchestration technologies for scaling ML models.
  • You are proficient with CI/CD tools (e.g., Jenkins, GitLab CI, ArgoCD) and familiar with version control (e.g., Git).
  • You have experience with data pipeline orchestration tools like Apache Airflow or Kubeflow.
  • You understand monitoring tools and techniques for tracking model performance (e.g., Prometheus, Grafana, ELK stack).
  • You are knowledgeable in data management and ETL processes, particularly with agricultural and environmental data.
  • You show proficiency in Python, with exposure to ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • You have experience in the agriculture sector or climate tech, with knowledge of carbon/GHG emissions projects.
  • You are familiar with geospatial data and remote sensing tools (e.g., Sentinel-2, Google Earth Engine) is a plus.
  • You display a commitment to automation, efficiency, and sustainability in ML operations.

About Sagri

Sagri is a well-funded AgriTech startup tackling critical challenges in Agriculture and the Environment. We combine satellite data, artificial intelligence, and grid technology to empower agricultural enterprises to track and reduce their carbon footprint and greenhouse gas emissions.

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