Senior AI Platform Engineer (CV & GCP)

Location:

Who we are

At Jaipur Robotics, we envision a future where data from waste is abundant, driving automation and digital transformation across the waste industry. We're developing cutting-edge intelligent solutions that are revolutionising operational pipelines for the European waste sector, unlocking efficiencies, and fostering sustainability at scale.

experienced Senior AI Platform Engineer

What we offer

• Play a

  leading role

  in shaping our technical infrastructure and product success as an early, senior engineering hire.
• Enjoy an attractive salary and stock options.
• Work closely with experienced founders in a dynamic startup environment.
• Build and scale cutting-edge AI systems with a direct impact on sustainability.
• Significant autonomy and

  ownership

  in a core area of the business.

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 (GCP/AWS).

• 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.

• Mentorship & Best Practices:

  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 (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.