MLOps Engineer (Python) Remote, Europe

Svitla Systems, Inc.; Milano; Remoto; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Italy seeks an experienced MLOps Engineer (Python) to join their team. You will be responsible for deploying and managing ML models, building CI/CD pipelines, and working with a range of MLOps tools including Docker and Kubernetes. This full-time role offers competitive compensation and the opportunity for remote work. The ideal candidate has 5+ years in software engineering and strong problem-solving skills.

Servizi

Competitive compensation

Flexible workspace

Generous time off

Regular performance appraisals

Competenze

• 5+ years of experience in software engineering with a strong MLOps focus.
• Deep knowledge of Python and hands-on experience with Docker and Kubernetes.
• Proven experience building CI / CD pipelines for ML model deployment.
• Strong problem-solving, coaching, and collaboration skills.

Mansioni

• Build and manage CI / CD pipelines for Asset and Policy RAM models.
• Maintain and extend connectors for Feature Store ETL.
• Automate ingestion of LLM-extracted claims.
• Implement and extend geospatial data systems and monitoring.

Conoscenze

Python

MLOps

Docker

Kubernetes

CI/CD

Agile

Strumenti

MLflow

Kubeflow

SageMaker

Grafana

Prometheus

Elasticsearch

Descrizione del lavoro

Overview

Join to apply for the MLOps Engineer (Python) Remote, Europe role at Svitla Systems, Inc.

Svitla Systems Inc. is looking for an MLOps Engineer (Python) for a full-time position (40 hours per week) in Europe. Our client is a broker platform that provides brokers with real-time risk capacity, anytime, anywhere. It represents a genuine step change from the current manual and time-consuming process available on the market, providing an unprecedented level of service to brokers and clients. It is a first-of-its-kind digital model that claims to deliver a unique advantage to its business partners. It is the first fully digital and automatically driven Lloyd’s of London syndicate. We’re looking for a Consultant MLOps Engineer with strong software engineering fundamentals and practical knowledge of MLOps tooling and practices.

You'll join the Property Squad, which focuses on developing data-driven tools to streamline insurance quoting, enhance user experience, and improve the profitability and scalability of property portfolios. This is a hands-on engineering role, best suited for a strong Python and Kotlin developer with an interest in MLOps infrastructure and workflows.

Tech Stack & Environment

• Languages: Python (must-have), Kotlin
• Cloud: GCP
• Containerization & Orchestration: Docker, Kubernetes
• MLOps Tooling: MLflow, Kubeflow, SageMaker, Airflow
• Monitoring: Grafana, Prometheus, Tableau
• Search / Analytics: Elasticsearch, Kibana
• Version Control & CI / CD: GitHub, Dekster

Requirements

• 5+ years of experience in software engineering with a strong MLOps focus.
• Deep knowledge of Python and hands-on experience with Docker and Kubernetes.
• Proven experience building CI / CD pipelines for ML model deployment.
• Practical experience with MLFlow and other model lifecycle tooling.
• Strong understanding of ETL, especially around Feature Store management.
• Familiarity with geospatial systems and indexing (e.g., H3).
• Experience in integrating ML models into production environments.
• Strong problem-solving, coaching, and collaboration skills.
• Comfortable working in a distributed, asynchronous environment.
• Experience working in Agile environments (Scrum / Kanban).
• Familiar with tools like Jira for workflow management.
• Strong written and verbal communication skills in English.

Nice to Have

• Familiarity with Kotlin or Java.
• Background in insurance, fintech, or other regulated domains.
• Prior exposure to model monitoring and governance best practices.

Responsibilities

• Model Deployment & Maintenance: Build and manage CI / CD pipelines for Asset and Policy RAM models. Package models using MLflow, containerize them, and maintain runtime diagnostics.
• Feature Store ETL: Maintain and extend connectors (AIR ingestion, Pub / Sub integration, asset-level features).
• Claims Matching Pipeline: Automate ingestion of LLM-extracted claims and align with exposure records.
• Geospatial Data Systems: Implement and extend systems using H3 indexing and open geospatial datasets.
• Monitoring & Observability: Build and manage alerting systems, troubleshoot production issues, and support Data Scientists.
• Infrastructure Support & Tech Debt: Improve server stability, evolve RAM architecture, and support updated model deployment.
• MLOps Coaching: Coach team members on Kedro, MLflow, model testing, and production best practices.
• Cross-Squad Collaboration: Liaise with the Model Ops (MOPs) team, resolve Feature Store delays, and manage infra-level dependencies.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, and other activities.
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!

Olena KurtieIEva - Recruitment Researcher

Email:

LinkedIn:

Details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting

San Vittore Olona, Lombardy, Italy

J-18808-Ljbffr