Senior MLOps Engineer

2 weeks ago

Bangalore Metropolitan Area, India a Snaphyre Client Full time

We are seeking a highly skilled Senior MLOps Engineer to join our team at a Snaphyre Client, a pioneering AgriTech startup. Our mission is to create value by visualizing agricultural land, enabling sustainable farming practices, reducing carbon emissions, and driving positive change for farmers, the planet, and future generations.

The Role

As a key member of our team, you will be responsible for overseeing the entire lifecycle of machine learning models, from development through production, with a focus on automation, scalability, and monitoring. Your role will be vital to empower agricultural enterprises to track and reduce their carbon footprint and greenhouse gas emissions.

  • You will design and implement automated ML pipelines for developing, testing, deploying, and monitoring ML models.
  • You will collaborate closely with Data Science and Engineering teams to integrate models into production environments.
  • You will develop infrastructure for model versioning, scaling, and serving to ensure high availability and low latency.
  • You will establish CI/CD processes for model deployment and data pipelines, ensuring reproducibility and consistency across environments.
  • You will monitor model performance, set up logging, and create alert systems for ML models in production.
  • You will optimize ML workloads for performance and cost-efficiency in cloud environments.
  • You will ensure data integrity, compliance, and security standards, especially concerning sensitive agricultural data.
  • You will participate in green computing initiatives to minimize the carbon footprint of ML operations.

Ideal Profile

  • 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 and infrastructure as code tools.
  • You demonstrate hands-on experience with Kubernetes or other container orchestration technologies for scaling ML models.
  • You are proficient with CI/CD tools and familiar with version control.
  • You have experience with data pipeline orchestration tools like Apache Airflow or Kubeflow.
  • You understand monitoring tools and techniques for tracking model performance.
  • 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.

What's on Offer?

  • You will work with a well-funded AgriTech startup tackling critical challenges in Agriculture and the Environment.
  • You will play a pivotal role in shaping a high-impact product driving the future of Agriculture.
  • You will work with state-of-the-art technologies in AI, remote sensing, and data analytics.

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