Machine Learning Engineer Lisboa

Machine Learning Engineer
Lisboa
Lisboa, Lisboa, Portugal

Workster is partnering with a global leader in the mobility space, transforming the industry with
- edge innovations and a fully digitalized approach. Join their Data Science team and help drive business processes like pricing with sophisticated algorithms. Make a direct impact on millions of customers and the company’s business results.

Your Role:

• Develop and maintain a solid infrastructure within the Data Science team, focusing on Dev
  Ops processes and cloud technologies.
• Establish and extend tools to automate the Data Science Tech Stack to continuously improve MLOps processes, including model deployment and data pipelines.
• Ensure a reliable and scalable deployment foundation for Data Science machine learning models and algorithms, collaborating closely with other departments like cloud infrastructure.
• Work with stakeholders across departments to achieve business goals and enhance the overall performance of the company’s systems.
• Build and maintain infrastructure as code (Ia
  C) using tools like Terraform to manage cloud resources.
• Make data science experiments
  - ready, ensuring they are monitored, robust, and scalable.

Your Qualifications:

• Strong knowledge of cloud technologies, ideally in AWS, with 3 years experience in this domain.
• Solid coding skills in Python and experience with continuous integration/continuous deployment (CI/CD) approaches.
• Experience with Infrastructure as Code (Ia
  C), ideally Terraform, is a strong plus.
• Familiarity with containerization technologies such as Docker and container orchestration systems like Kubernetes.
• Ideally, knowledge of the operational deployment of machine learning applications.
• Ideally, experience in data engineering, including data modeling, database systems, and ETL processes.
• Experience with monitoring and logging tools to detect and diagnose issues in machine learning models and supporting infrastructure.
• Excellent communication and collaboration skills, fluency in English, and an appreciation for cultural diversity.

The Offer:

• Generous Time Off:
  
  Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year.
• Work-Life Balance & Flexibility:
  
  Benefit from a hybrid working model, flexible working hours, and no dress code.
• Great Employee Benefits:
  
  Access discounts on services like rent, share, ride, and SIXT+, along with partner discounts.
• Training & Development:
  
  Participate in training programs, external conferences, and internal dev & tech talks for personal growth.
• Health & Well-being:
  
  Private health insurance to support your
  - being.
• Additional Perks:
  
  Enjoy the Coverflex advantage system to enhance your employee experience.