Infrastructure & MLOps Engineer for AI Data Platform
C1 (Advanced) English
Senior (5-10 years)
Europe
UTC+01:00
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Summary
* Join our team of top engineers and researchers building a next-generation AI platform for cross-industry knowledge exchange and collaboration.
* You’ll design and scale cloud infrastructure for intelligent data workflows, federated learning, and large-scale ML pipelines across diverse domains.
What you’ll bring:
*Strong MLOps / DevOps experience (preferably in data-intensive environments)
*Track record of building and scaling AWS infrastructure for AI/ML workloads
*Strong expertise in infrastructure as code, CI/CD and observability
* Nice to have: experience in federated learning or ontology-driven systems infrastructure, scalability and security
* Long-term, full-time role with big influence, ownership and room to grow
Are you a talented developer looking for a remote job that lets you show your skills and get decent compensation? Join Upstaff.com, a platform that connects you with hand-picked startups and scale-ups in the US and Europe.
Required Skills
AWS 5.0 yr.
MLOps 2.0 yr.
Terraform 5.0 yr.
Jenkins 5.0 yr.
Nice to Have
The project
Join our team of researchers and engineers building a next-generation AI platform for semantic- and ontology-driven cross-organization and cross-domain data collaboration. The system is designed to be a game-changer for data engineers and scientists working with multiple knowledge domains and organizations. It enables AI-powered creation, orchestration, and durable execution of Data & ML workflows across heterogeneous data environments. By bridging semantic and structural gaps, the platform makes complex, multi-source data and ML workflows more reliable, interpretable, and scalable than ever, setting a new standard in knowledge collaboration.
Key features:
- Bridging semantic and structural gaps across organizations and industries
- Intelligent data & workflow environment with deep semantic understanding and federated learning
- AI-driven ontology and knowledge graph generation and management
- Automatic discovery, connection, and interpretation of multiple data sources
- Self-healing workflows for ML and data processing
Your role
As a Senior MLOps / DevOps Engineer, you will play a key role in making the system reliable, scalable, and production-ready. Your focus will be on designing and operating the AWS infrastructure that powers data and ML workflows across multiple domains. Day to day, you will:
- Architect, develop, and scale AWS-based infrastructure for AI/ML and data workflows
- Design and optimize CI/CD pipelines (Terraform, Jenkins, Kubernetes)
- Develop and monitor ML & data pipelines, ensuring performance and reliability
- Automate provisioning, testing, and deployment with Infrastructure-as-Code
- Integrate system components end-to-end (schema mapping, metadata, real-time workflows)
- Collaborate closely with AI researchers and engineers on integration, orchestration and improvements
- Ensure security, compliance, and observability in multi-source environments
What we’re looking for
- Strong background in AWS infrastructure for data/ML workloads
- Hands-on experience with CI/CD: Jenkins, GitHub Actions, Kubernetes, model deployment & monitoring
- Proficiency in Infrastructure-as-Code (Terraform / OpenTofu or similar tools)
- Databases: Postgres, Redis (MongoDB/Neo4j would be plus)
- Experience with monitoring & observability: CloudWatch or Prometheus or Grafana / OpenTelemetry /Jaeger or similar
- Infrastructure-as-Code (Terraform/OpenTofu)
- Languages, besides DevOps toolkit: Python. (Go would be a plus)
Tech we also touch
- Ontologies, Knowledge Graphs, Semantic data
- Custom & common ML models, contextualization, federation
- Time-series & streaming data
- Security (Zero Trust, ABAC/RBAC, IAM, SSO, encryption)
- Codeless integration agents & APIs
Why join us?
- Work on an ambitious AI project designed to transform how organizations collaborate on data and ML
- Collaborate with top engineers and researchers in a highly technical, innovation-driven environment
- Build infrastructure that bridges industries and domains — your work has direct, real-world impact
- Full ownership: from architecture to automation, you’ll define the overall approach and design the majority of critical components