Senior Machine Learning Engineer
col-wide
Job Description:
How will you make an impact? HOW WILL YOU MAKE AN IMPACT? Develop components of the analytics and machine learning platform, including: infrastructure modules, reusable components for AI/Analytics applications or architecture templates
Industrialize, maintain and improve AI and analytics solutions in Google Cloud Platform
Manage the infrastructure with special focus on reliance, security and scalability
Partner with Analytics Engineers, Data Scientists, Infrastructure & Data Engineers for the project delivery
HOW WILL YOU EXPERIENCE SUCESS WITH US?
Graduate in Master program in Engineering, Data Science, or related fields or equivalent professional experience
Proficient in Python programming & SQL (5 years or more)
Practical experience in MLOPs (3-5 years or more)
Professional experience in Google Cloud Platform (2 years +)
Practical experience with infrastructure as a code, ideally Terraform (1 years+)
Knowledge of Data Engineering principles
Knowledge of REST API and microservices
A dynamic, innovative & pragmatic mindset to problem solving, and an ability to think critically and objectively, both independently & within a team
Proactive, curious and autonomous with a strong sense of ownership and always on the look to improve the current solutions
Strong communication skills, English is a must, ease to collaborate in multicultural and multifunctional environments
Experience in Vertex AI and DBT is a plus
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