AI Platform Architect

11 hours ago

India beBeeSenior Full time ₹ 20,00,000 - ₹ 25,00,000
About This Opportunity

We are seeking a highly skilled Senior AI Platform Engineer to join our team. As a key member of our technical team, you will play a critical role in designing and implementing cutting-edge AI systems that drive sustainability.

The ideal candidate will have a strong background in MLOps, AI/ML Infrastructure, and Platform Engineering, with a proven track record of delivering scalable, production-grade systems.

You will be responsible for architecting, implementing, and managing robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently.

Additionally, you will work closely with our frontend and product teams to design and implement backend services and APIs that power responsive, data-driven UI experiences.

Our team is passionate about making a meaningful difference, and we're looking for someone who shares our vision and is ready to take ownership and drive projects forward.

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 (GCP/AWS).
  • 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; ensure system scalability and stability through automated deployments and rollbacks.
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 (GCP/AWS).
  • 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, evolving startup environment.
What We Offer
  • An attractive salary and stock options package.
  • The opportunity to work closely with experienced founders in a dynamic startup environment.
  • A chance to build and scale cutting-edge AI systems with a direct impact on sustainability.

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