AI Visionary

2 weeks ago

Gulbarga, Karnataka, India beBeePlatform Full time ₹ 18,00,000 - ₹ 22,00,000

We are seeking a seasoned Senior AI Platform Engineer to drive our technical infrastructure and product success.

Job Description

  • MLOps Expertise: 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 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

  • Proven Experience: 5+ years of experience in MLOps, AI/ML Infrastructure, Platform Engineering, or a related Backend Engineering role.
  • Programming Skills: Strong programming skills, particularly in Python, and deep experience with ML frameworks.
  • Cloud Platforms: Extensive hands-on experience with CI/CD practices, containerization (e.g., Docker), and cloud platforms (GCP/AWS).
  • Data Storage Solutions: Proven experience designing and managing data storage solutions (databases, cloud storage) and messaging/queuing systems in production.
  • Software Engineering Best Practices: Solid understanding and application of software engineering best practices (testing, version control, etc.).
  • Scalable Systems: Demonstrable experience building, deploying, and maintaining scalable, production-grade systems.
  • Communication Skills: Ability to work independently, take initiative, own projects end-to-end, and drive them to completion in a fast-paced, evolving environment.

Benefits

  • Attractive Salary: Enjoy an attractive salary and stock options.
  • Dynamic Startup Environment: Work closely with experienced founders in a dynamic startup environment.
  • Autonomy and Ownership: Significant autonomy and ownership in a core area of the business.

Nice to Have

  • High-Availability Systems: Experience with high-availability systems and real-time data processing.
  • Infrastructure-as-Code Tools: Familiarity with Infrastructure-as-Code tools.
  • Additional Programming Languages: Mild familiarity with Go (Golang) and/or JavaScript (JS).

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