Job Title

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, andexperienced Senior AI Platform Engineerto join us. We need someone whothrives in a dynamic startup environmentand is ready totake ownership and drive projects forward .What we offer Play aleading rolein 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 andownershipin 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 experiencein 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.