
AI Engineering Leader
14 hours ago
A future where data from waste is abundant, driving automation and digital transformation across the industry.
- This role shapes our technical infrastructure and product success as an early engineering hire.
Key Responsibilities:
- Design robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently.
- Architect, implement, and manage 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.
Requirements:
- 5+ years of 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 systems in production.
- Solid understanding and application of software engineering best practices.
- Demonstrable experience building, deploying, and maintaining scalable 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.
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