This is a remote milestone-based work. Jaipur Robotics is looking for a freelance MLOps / DevOps engineer to help us complete a focused, short-term milestone-based project (7–10 days). This is an execution-only role — no R&D — ideal for someone who can quickly operationalise an ML pipeline. 🔧 What You’ll Do Deploy an already-trained computer vision model into a production setup Set up a live image feed from our deployed cameras to enable inference Implement basic logging, monitoring, and fault handling Ensure the system is reliable, fast, and easy to maintain ✅ Must-have Requirements Proven experience with MLOps / DevOps, especially on GCP Experience with live image pipelines, object tracking, and ML model deployment Clear communicator, comfortable with remote milestone-based work Duration: 7–10 days Type: Milestone-based contract
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.