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