
Chief Data Operations Engineer
2 weeks ago
Job Overview
Imagine a future where data from waste drives innovation and transformation across industries. As a pioneering tech professional, you'll play a key role in shaping our technical infrastructure and product success.
The ideal candidate will design, build, and maintain robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently. They will work closely with frontend and product teams to architect and implement scalable backend services and APIs that power responsive UI experiences.
Key Responsibilities:
- Design, build, and maintain scalable pipelines for data processing, ML inference, and result serving.
- Architect and implement reliable infrastructure for data storage, model deployment, and inference serving on cloud platforms.
- Work collaboratively with cross-functional teams to design and implement backend services and APIs.
- Manage databases and implement task processing and access control systems.
- Implement monitoring, logging, and alerting systems; manage secrets securely; ensure system scalability and stability.
Requirements:
- 5+ years of experience in MLOps, AI/ML Infrastructure, Platform Engineering, or Backend Engineering.
- Strong programming skills, particularly in Python, and deep experience with ML frameworks.
- Extensive hands-on experience with CI/CD practices, containerization (e.g., Docker), and cloud platforms (GCP/AWS).
- Solid understanding and application of software engineering best practices.
- Demonstrable experience building, deploying, and maintaining scalable production-grade systems.
Nice to Have:
- Experience with high-availability systems and real-time data processing.
- Familiarity with Infrastructure-as-Code tools.
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