Data Scientist

Data Scientist
Lisboa
Lisboa, Lisboa, Portugal

As an ML Engineer, you will be responsible for crafting and deploying
- notch
-
- end full stack software systems that empower our AI products to operate seamlessly at an unprecedented scale. Your expertise will contribute to the development of our backend cloud infrastructure, utilizing
-
-
- art technologies that make our multimodal AI engine thrive.

Responsibilities:

• Develop and deploy scalable backend cloud infrastructure for our
  - edge multimodal AI engine, employing the latest technologies and frameworks.
• Create
  - ready systems capable of efficiently handling vast amounts of data and traffic, ensuring exceptional performance at all times.
• Collaborate closely with a diverse team of engineers, including data scientists, machine learning experts, and developers, to seamlessly integrate the backend with other product components.

Requirements:

• Minimum of 4+ years of
  - on experience in research and development of
  - scale systems, with a track record of delivering successful products.
• Proven expertise in developing scalable and
  - ready systems, demonstrating the ability to meet the demands of
  - scale operations.
• Deep knowledge of software development principles, data structures, algorithms, and design patterns, enabling you to architect robust and efficient solutions.
• Extensive experience with backend technologies, including Python, and web servers like Flask and
• Strong background in Machine Learning, Computer Vision research and applications, with a Master's degree in the field.
• Experience with cloud services and deployment is highly valued, particularly expertise in AWS services like EC2, S3, and RDS.
• Excellent
  - solving and debugging skills, allowing you to overcome challenges and optimize system performance.
• Exceptional communication and collaboration skills, enabling effective teamwork and efficient
  - functional cooperation.
• If you possess an unwavering passion for innovation, leading research and development teams in the field of Computer Vision and Machine Learning, and working with
  -
  -
  - art AI technology, we invite you to seize this exciting opportunity and join our team.