
AI Systems Engineer
1 day ago
We're on the cusp of a revolution in waste management. At our company, we're harnessing the power of data from waste to drive automation and digital transformation across industries.
Our cutting-edge intelligent solutions are transforming operational pipelines for the waste sector, unlocking efficiencies and fostering sustainability at scale.
As a fast-growing clean-tech startup, we're attracting top talent who are excited to work at the intersection of AI, automation, and environmental impact.
Key Responsibilities- Design robust ML pipelines for processing image and video data, running ML model inferences, and serving results efficiently.
- Architect scalable infrastructure for data storage, model deployment, and inference serving on cloud platforms.
- Work closely with frontend and product teams to design backend services and APIs that power responsive 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.
- 5+ years of experience in MLOps, AI/ML Infrastructure, Platform Engineering, or related Backend Engineering roles.
- 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 data storage solutions and messaging/queuing systems in production.
- Experience with high-availability systems and real-time data processing.
- Familiarity with Infrastructure-as-Code tools.
- Mild familiarity with Go (Golang) and/or JavaScript (JS).
- Experience scaling systems within a startup environment.
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