We're hiring a Senior MLOps Engineer for a 7-month contract role. The ideal candidate has 10+ years of experience in building and managing production-grade ML infrastructure. Key responsibilities include designing and managing ML pipelines, implementing CI/CD processes, and ensuring reproducibility and governance across the ML lifecycle.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
We’re Hiring: Senior MLOps Engineer (Contract Role – 7 Months)
We are looking for an experienced Senior MLOps Engineer to join a high-impact contract engagement.
This role is ideal for senior professionals who have hands-on experience in building and managing production-grade ML infrastructure, deployment pipelines, monitoring systems, and scalable MLOps workflows.
Experience Requirement- Minimum 10+ years of total corporate experience is mandatory
- Stronger MLOps / ML platform / cloud infrastructure experience will be preferred
- Extensive experience in production ML systems, CI/CD, orchestration, and lifecycle management is a major advantage
- Design and manage ML pipelines for training, validation, deployment, and monitoring
- Build scalable automation workflows for ML operations
- Implement CI/CD processes for machine learning systems
- Manage cloud and containerized environments for ML workloads
- Ensure reproducibility, governance, reliability, and observability across the ML lifecycle
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- MLflow, Kubeflow, Docker, Kubernetes
- Azure ML / AWS SageMaker / GCP Vertex AI
- CI/CD, model versioning, monitoring, and production optimization
- Strong collaboration across ML, backend, cloud, and DevOps teams
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Duration: 7 months
- Compensation: Approx. USD 100/day
- Accommodation: Provided by the client
- The role is expected to start remotely due to the current war situation
- Once conditions improve, relocation may be required based on client needs
If you are a senior MLOps professional with strong enterprise delivery experience, feel free to DM or share your profile.
- #Hiring #MLOps #MLOpsEngineer #AIInfrastructure #MachineLearning #Kubernetes #Docker #MLflow #AzureML #AWS #GCP #ContractJobs #TechHiring
Similar Jobs
Explore other opportunities that match your interests