Senior AI Platform Engineer

6 days ago

bangalore, India Jaipur Robotics Full time

Location: Remote (availability to work in the CET timezone)

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.

As a fast-growing, VC-backed clean-tech Swiss startup, we’re attracting top talent who are excited to work at the intersection of AI, automation, and environmental impact. Our team is passionate, driven, and on a mission to make a meaningful difference – and we’re looking for a talented, motivated, and experienced Senior AI Platform Engineer to join us. We need someone who thrives in a dynamic startup environment and is ready to take ownership and drive projects forward .

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.

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