Senior MLOps Engineer (GCP / CV / Perception Pipelines)

Jaipur Robotics; India; On-site; INR 7,469,654 - 11,204,481; Full time

Job summary

A clean-tech startup is seeking a Senior MLOps Engineer to operate and design the infrastructure behind ML systems. This remote role involves building CI/CD pipelines, managing services on GCP, and collaborating with ML engineers to optimize models. A strong background in GCP, Kubernetes, Python, and CI/CD processes is essential. Responsibilities include automating workflows and ensuring model reliability. Interested candidates can apply via the contact form or at [e-mail].

Qualifications

• Strong experience with GCP and its services.
• Experience automating model workflows with CI/CD.
• Familiarity with Docker, Kubernetes, and data pipelines.

Responsibilities

• Build and maintain CI/CD pipelines using GitHub Actions.
• Manage deployments on Google Kubernetes Engine.
• Collaborate with ML engineers to optimize inference pipelines.

Skills

GCP (Cloud Run, GKE, GCS, Pub/Sub, IAM)

CI/CD pipelines (GitHub Actions or similar)

Docker and Kubernetes (GKE)

Building data pipelines (Apache Beam / Dataflow)

ML lifecycle understanding

Python programming skills

Job description

Location: Remote (CET working hours)

Overview

At Jaipur Robotics, we build AI systems that turn visual and sensor data into automation, efficiency, and operational intelligence for the waste industry. We are a fast-growing, VC-backed clean-tech startup based in Switzerland, working with leading operators across Europe and expanding our engineering team to develop industrial perception and automation systems.

What we offer

We’re hiring a Senior MLOps Engineer (GCP / Computer Vision & ML Pipelines) to design and operate the infrastructure behind our ML systems. This role focuses on productionizing computer vision and perception pipelines at scale on GCP. You will work across CI/CD, cloud infrastructure, and data pipelines, ensuring models and data systems run reliably at scale.

Key Responsibilities

• ML Ops & CI/CD: Build and maintain CI/CD pipelines using GitHub Actions
• Automate model training, validation, and deployment workflows
• Manage versioning of models, datasets, and pipelines
• Implement safe deployment strategies (rollbacks, staged releases)

Cloud / Data Pipelines

• Deploy and manage services on Cloud Run, GCS, Pub/Sub, and data storage systems (SQL / NoSQL / Redis)
• Build scalable pipelines using Apache Beam / Dataflow
• Process large-scale image and sensor datasets
• Ensure reliability through monitoring, observability, and cost-aware design

Containerization, Kubernetes & Runtime

• Build and manage Docker-based services for ML and data pipelines
• Deploy and manage workloads on Google Kubernetes Engine (GKE)
• Optimize containers for performance, resource efficiency, and reliability
• Implement rolling deployments, health checks, and failover strategies
• Maintain reproducible environments across dev, staging, and prod

ML Systems & Collaboration

• Work closely with ML engineers to productionize models
• Optimize inference pipelines and resource utilization
• Implement monitoring for model performance and drift

Requirements

• Strong experience with GCP (Cloud Run, GKE, GCS, Pub/Sub, IAM)
• Experience building CI/CD pipelines (GitHub Actions or similar)
• Experience with Docker and Kubernetes (GKE) in production
• Experience building data pipelines (Apache Beam / Dataflow)
• Solid understanding of ML lifecycle
• Familiarity with streaming pipelines and real-time systems
• Experience operating in production with failure handling and debugging
• Strong programming skills in Python

Nice to Have

• Experience working in an early-stage startup / scale-up (<50 engineers)
• Experience with camera and LiDAR systems
• Experience deploying on edge in restricted IT/OT industrial environments
• Maintain infrastructure using Terraform (infrastructure-as-code)

Apply now

Use the contact form on www.jaipurrobotics.com or send us an email at [e-mail]