For our client of us we are looking for a hand-on Freelance MLOps / Machine learning Engineer. This freelance assignment is part of a greenfield innovation project focused on developing a Visual Search experience
Responsibilities:
- Design and implement ML-specific CI/CD pipelines
- Containerize services (Docker) and orchestrate them with Kubernetes
- Deploy models using tools like TensorFlow Serving, TorchServe or similar
- Build monitoring and observability with Prometheus, Grafana, ELK, etc.
- Integrate ML infrastructure within a GCP-native environment (preferred)
- Work closely with data scientists and developers to align architecture
- Ensure delivery of scalable, secure, and performant systems
Requirements:
- 5+ years in MLOps, DevOps or a similar engineering role
- Proven experience deploying ML models in production
- Strong knowledge of Docker, Kubernetes, and model serving frameworks
- Hands-on experience with GCP (preferred), AWS or Azure
- Experience in computer vision use cases is a big plus
- Excellent communication skills and experience working in agile teams
Details:
- Start: as soon as possible
- Duration: 6+ months
- Location: Hybrid
- Hours: 40 per week
- Construction: Freelance
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- Posted
- Jun 11, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- The Randstad
- Company
- DiscoverIT Recruitment
Industries
Categories
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