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Senior MLOps Engineer
1 month ago
We are seeking an experienced Senior MLOps Engineer to join our pioneering AgriTech startup, leveraging machine learning and satellite data to drive sustainability in agriculture. As a key member of our team, you will design and implement automated ML pipelines, collaborate with cross-functional teams, and develop infrastructure for model versioning and scaling.
About the RoleThis is an exciting opportunity to contribute to our mission of empowering agricultural enterprises to track and reduce their carbon footprint and greenhouse gas emissions. Your expertise in cloud platforms, infrastructure as code tools, and container orchestration technologies will enable us to optimize ML workloads for performance and cost-efficiency.
Responsibilities- 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).
- A Bachelor's degree in Computer Science, Engineering, or a related field.
- 6-7 years of experience in IT, focusing on MLOps, DevOps, or Data Engineering roles.
- Expertise with cloud platforms (AWS, GCP, Azure) and infrastructure as code tools (e.g., Terraform, CloudFormation).
- Hands-on experience with Kubernetes or other container orchestration technologies for scaling ML models.
- Proficient with CI/CD tools (e.g., Jenkins, GitLab CI, ArgoCD) and familiar with version control (e.g., Git).
- An estimated salary of $140,000 - $160,000 per year.
- The opportunity to work with cutting-edge technologies and make a meaningful impact on the environment.
- A dynamic and supportive team environment that fosters growth and collaboration.
About Us
Our client is a pioneering AgriTech startup that combines satellite data, artificial intelligence, and grid technology to tackle critical challenges in agriculture and the environment.
