MLOps Engineer
November 7
Description
• Work somewhere with the creativity of a scaleup and expertise of an enterprise. • We’re looking for a world-class MLOps Engineer to join our Team in Milan. • You’ll participate in the end-to-end process of productionizing machine learning models, from model deployment to monitoring and maintaining their performance. • You’ll also work with large language models, focusing on implementing near real-time and batch inferences and address data drift and model drift in production environments.
Requirements
• At least 3 years of experience as MLOps Engineer or DevOps Engineer • Proficiency with GCP, Azure or AWS • Knowledge of Data Versioning • Familiarity with vector Database • Hands-on experience in Model Lifecycle • Proficiency with Orchestrator tool • Knowledge of Model Serving and Deployment • Expertise with Kubernetes • Experience in managing Infrastructure for the horizontal scaling of deep learning models. • Experience with HPC is a plus
Benefits
• Learning Friday. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials. • Smart Working. Trains can be a drag, you can save some commuting time by working from home. • Salary is based on experience, and topped up with other bonuses.
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