AI Systems Engineer

11 hours ago

Thoothukudi, Tamil Nadu, India beBeePlatform Full time ₹ 13,95,000 - ₹ 20,18,500
Job Overview

We envision a future where data from waste is abundant, driving automation and digital transformation across the waste industry.

This role involves shaping our technical infrastructure and product success as an early engineering hire, building and scaling cutting-edge AI systems with a direct impact on sustainability.

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.
  • Requirements:
  • 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 (e.g., Docker), and cloud platforms.
  • Proven experience designing and managing data storage solutions (databases, cloud storage) and messaging/queuing systems in production.
  • Solid understanding and application of software engineering best practices (testing, version control, etc.).
  • 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.

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