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Chief Automation Architect
2 weeks ago
At our organization, we are committed to revolutionizing the waste industry through cutting-edge intelligent solutions.
">We envision a future where data from waste is abundant, driving automation and digital transformation across the sector. Our team of passionate individuals is on a mission to make a meaningful difference.
">As a fast-growing startup, we're attracting top talent who are excited to work at the intersection of AI, automation, and environmental impact.
">Key Responsibilities">- ">
- Design, build, and maintain robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently.">
- Architect, implement, and manage scalable and reliable infrastructure for data storage, model deployment (CI/CD), and inference serving on cloud platforms.">
- Work closely with frontend and product teams to design and implement backend services and APIs that power responsive, data-driven UI experiences.">
- Manage databases, implement background task processing and access control.">
- Implement monitoring, logging, and alerting systems; manage secrets securely; ensure system scalability and stability through automated deployments and rollbacks.">
- Help establish and advocate for MLOps/Platform best practices within the team.">
- ">
- 5+ years of proven experience in MLOps, AI/ML Infrastructure, Platform Engineering, or a related Backend Engineering role.">
- Strong programming skills, particularly in Python, and deep experience with ML frameworks.">
- Extensive hands-on experience with CI/CD practices, containerization, and cloud platforms.">
- Proven experience designing and managing data storage solutions and messaging/queuing systems in production.">
- Solid understanding and application of software engineering best practices.">
- Demonstrable experience building, deploying, and maintaining scalable, production-grade systems.">
- Ability to work independently, take initiative, own projects end-to-end, and drive them to completion in a fast-paced environment.">
- Proficiency in English.">
- ">
- Experience with high-availability systems and real-time data processing.">
- Familiarity with Infrastructure-as-Code tools.">
- Mild familiarity with Go and/or JavaScript.">
- Experience scaling systems and processes within a startup environment.">