Machine Learning Engineer
Há 1 mês
About the Role
Capgemini is seeking a talented Machine Learning Engineer to join our team in Lisbon. As a Machine Learning Engineer, you will be responsible for developing and industrializing AI and analytics solutions in Google Cloud Platform. You will work closely with Analytics Engineers, Data Scientists, and Infrastructure & Data Engineers to deliver projects and ensure the infrastructure is reliable, secure, and scalable.
Key Responsibilities
- Develop components of the analytics and machine learning platform, including infrastructure modules and reusable components for AI/Analytics applications.
- Industrialize, maintain, and improve AI and analytics solutions in Google Cloud Platform.
- Manage the infrastructure with a focus on reliability, security, and scalability.
- Partner with Analytics Engineers, Data Scientists, and Infrastructure & Data Engineers for project delivery.
Requirements
- Graduate degree in Engineering, Data Science, or related field, or equivalent professional experience.
- Proficient in Python programming and SQL (5+ years of experience).
- Practical experience in MLOPs (3-5 years of experience).
- Professional experience in Google Cloud Platform (2+ years of experience).
- Practical experience with infrastructure as a code, ideally Terraform (1+ year of experience).
- Knowledge of Data Engineering principles.
- Knowledge of REST API and microservices.
- Experience in Vertex AI and DBT is a plus.
Desired Skills
- A dynamic, innovative, and pragmatic mindset to problem-solving.
- Ability to think critically and objectively, both independently and within a team.
- Proactive, curious, and autonomous with a strong sense of ownership.
- Strong communication skills, with English as a must.
Interview Process
- Our team will actively review all applications.
- If your application is selected, we will reach out to you for an informal introductory call.
- The next step will be meeting our Client's team for a technical interview with team members.
- Selected candidates will move to a final interview with the Hiring Manager and HR team.
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