MLOps Engineer

As an MLOps Engineer you will design and implement the solutions infrastructureboth cloud and on-premas well as the functional flows required for the complete model lifecycle including automated evaluation and governance. You will also develop extensions and tools that improve model monitoring experiment management and workflow automation. Supporting project teams and integrating their use cases into the Data Loop will be a key part of the role.

• Design implement integrate and maintain ETL pipelines of different data types helping onboard new customers by connecting their data sources to the platform.
• Implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud (Azure) and on-premises resources using Terraform.
• Implement robust security measures to protect sensitive Data and ML models in both cloud and on-premises environments.
• Implement and/or integrate tools to deliver a state-of-the-art MLOps solution according to best practises.
• Develop and implement monitoring dashboards and alerts to proactively identify and resolve platform issues.
• Work closely with data scientists software engineers and infrastructure teams to deliver a high-quality solution.
• Communicate effectively with stakeholders at all levels including technical and non-technical audiences.
• Stay up to date with the latest MLOps trends and technologies and share knowledge and expertise with colleagues working on other projects and domains.
• Participate in code reviews and contribute to the development of best practices.

Qualifications :

• MSc or Ph.D. in Computer Science Data Science Machine Learning or a related field.
• 2 years of experience in MLOps Data Engineering Cloud Engineering or similar roles with a strong focus on AI/ML use-cases.
• Knowledge of either industrialization laboratory environment or ADAS domain is a major plus.
• Good scripting and automation skills with Python and Bash. Proficiency with Pandas Pydantic Pytest and NumPy is a plus.
• Capable of implementing integrating and maintaining Data and MLOps components. Architectural skills are a plus.
• Good understanding of Cloud solutions and associated concepts. Experience with Azure is a plus.
• Good understanding of DevOps principles and practices. Proficiency with GitOps containerization and orchestration tools like Docker Kubernetes and Apache Airflow is a plus.
• Good understanding of CI/CD pipelines and IaC tools. Proficiency with GitHub Actions and Terraform is a plus.
• Basic experience with monitoring and dashboarding. Proficiency with PowerBI Grafana and Prometheus is a plus.
• Basic experience with on-premises infrastructure management Linux servers networking and storage.
• Excellent problem-solving skills.
• Effective communication skills team player and capable of collaborating across functional areas.
• Proactive customer and result-oriented personality.
• Fluent in Portuguese and English written and spoken.

Additional Information :

What we offer you:

Challenges in an international environment career opportunities in one of the best companies in the world flexible hours medical services discounts for employees sports and health related activities canteen good access to public transports space for creativity.

Success stories dont just happen. They are made...

Make it happen! We are looking forward to your application!

Remote Work :

No

Employment Type :

Full-time