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5 Sagri Co Jobs
Senior ML Ops Engineer
Sagri Co
posted 4mon ago
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Job Description
As a skilled and committed Senior MLOps Engineer, you will oversee the entire lifecycle of machine learning (ML) models, from development through production, with a focus on automation, scalability, and monitoring. Your role will be vital to Sagri s mission of empowering agricultural enterprises to track and reduce their carbon footprint and greenhouse gas emissions. In this role, you will:
- 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.
Ideal Profile
- You possess a Bachelors 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.
Whats on Offer
- Work with a well-funded AgriTech startup tackling critical challenges in Agriculture and the Environment
- Play a pivotal role in shaping a high-impact product driving the future of Agriculture
- Work with state-of-the-art technologies in AI, remote sensing, and data analytics
- Be part of a diverse, talented, and mission-driven team
Employment Type: Full Time, Permanent
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