Data Engineer
Core
Design and develop automation systems and deploy ML models to optimize business operations and decision-making.
Role type
Data Engineer (ML deployment & automation)
Builds
Automation tools, scalable data pipelines, and production-grade ML models
Domain
Food technology, data engineering, cloud infrastructure
Deliverable
production ML models | infrastructure | product features
Required skills
Javascript, Python, SQL, Databricks, AWS stack, Serverless architecture, Kubernetes, CI/CD tools, LLMs for AI-based automation
Preferred skills
Experience with modern data platforms, knowledge of hosting applications on Kubernetes
Technologies
Databricks, AWS, AWS Lambda, GitHub Actions, Jenkins, Kubernetes, Javascript frameworks
Responsibilities
Develop and implement strategies for automation tools, Deploy and maintain ML models, Design and maintain scalable data pipelines, Mentor colleagues on software development best practices, Monitor and enhance performance of automation tools
Seniority
Mid-level, hands-on IC
