Chief AI Infrastructure Specialist

23 hours ago

Mumbai, Maharashtra, India beBeePlatform Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Overview

We are seeking a talented and experienced Senior AI Platform Engineer to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently.

Key Responsibilities:

  • ML Pipeline Development: Design, build, and maintain robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently.
  • AI/ML Infrastructure: Architect, implement, and manage scalable and reliable infrastructure for data storage, model deployment (CI/CD), and inference serving on cloud platforms.
  • Cross-Team Collaboration: Work closely with frontend and product teams to design and implement backend services and APIs that power responsive, data-driven UI experiences.
  • Backend Support: Manage databases, implement background task processing and access control.
  • System Operations: Implement monitoring, logging, and alerting systems; manage secrets securely; 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.
  • Proficiency in English.

Nice to Have:

  • 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 and processes within a startup environment, ideally seeing growth from Seed or Series A stages.

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