Senior MLOps Engineer

📋 Description

• Design and implement core infrastructure for deploying ML models and generative AI in production.
• Develop and maintain data pipelines using Airflow to deliver high-quality data to models.
• Deploy, monitor, and optimize ML models on Google Cloud Platform using VertexAI.
• Create foundational tools and guide other teams to ship AI features.
• Collaborate with Data Scientists to improve accuracy, reliability, and scalability of models.
• Lead end-to-end Data R&D projects from research to product deployment.

🎯 Requirements

• Significant MLOps experience deploying ML models, including Generative AI, at scale.
• Hands-on GCP experience, especially BigQuery and VertexAI.
• Proficient in Python and SQL.
• Experience building data pipelines with Airflow.
• Familiar with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Understanding of CI/CD pipelines (GitLab CI) and model monitoring.
• Strong communication; able to explain complex topics to diverse stakeholders.

🎁 Benefits

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.