MLOPS ENGINEER

Paris x2 days a week in office

OVERVIEW

Xcede are delighted to partner with one of Europe's most exciting HealthTech firms. The organisation is utilising a blend of modern AI expertise & domain specialisation in an effort to link the most talented specialist healthcare professionals with the people and organisations that need their expertise the most.

The automated, intelligence-led features of the company's product are their differentiator, and as a result, their AI & ML unit is realistically their most impactful team.

They're currently growing organically based on demand from their customers, leading to the current search for an MLOps Engineer.

RESPONSIBILITIES

• Develop and maintain the infrastructure for data generation, model training, and machine learning model deployment pipelines.
• Collaborate with data scientists and machine learning engineers to design and implement scalable and efficient ML solutions.
• Implement and manage version control, continuous integration, and continuous deployment systems for ML models and related components.
• Monitor and optimise ML models and pipelines for performance, scalability, and cost-efficiency.
• Work closely with DevOps and IT teams to ensure seamless integration of ML components into existing systems and processes.
• Design and implement monitoring, alerting, and logging systems to track the health and performance of ML models and pipelines.
• Ensure compliance with data privacy, security, and regulatory requirements throughout the ML development and deployment life cycle.
• Troubleshoot and resolve issues related to ML pipelines, infrastructure, and deployments.
• Stay updated with the latest advancements in ML technologies and practices to continuously improve the efficiency and effectiveness of the ML infrastructure.
• Collaborate with cross-functional teams to define and implement best practices for ML model development, deployment, and maintenance.

REQUIREMENTS

• BSc/MSc/PhD degree in Computer Science or STEM subject
• Demonstratable commercial experience working on MLOps projects
• Strong Python coding skills (PySpark a bonus too!)
• Experience with modern development methods and tooling:

1. containers (eg, Docker)
2. container orchestration (Kubernetes/K8s)
3. CI/CD tools (eg, Circle CI, Azure DevOps, Jenkins, GitHub actions)
4. Version control (Git, Github, Gitlab)
5. Orchestration/DAGs tools (eg, Argo, Airflow, Kubeflow)

• Azure/AWS/GCP experience & familiarity

HOW TO APPLY

Please register your interest by sending your CV or click the Apply Link.