Machine Learning Engineer

📋 Description

• Build and improve tools and services for Data Science solutions using Python, AWS, Docker and
• Collaborate with engineers, data scientists and business teams to develop practical solutions.
• Support development and deployment of ML solutions, including delivery pipelines, testing and
• Maintain and enhance existing Data Science platforms, tools and Python libraries for reliability.
• Write clean, maintainable code and participate in code reviews following engineering best practices.
• Explore new ideas and technologies, contribute to proof-of-concept projects, share learnings.

🎯 Requirements

• Degree in Computer Science, Engineering, Mathematics or related field, or equivalent experience.
• Confident writing clean, structured Python code with data science and ML libraries.
• Understanding of modern development practices including Git, automated testing, OOP and CI/CD.
• Exposure to cloud and container technologies such as AWS, Azure, Docker or Kubernetes.
• Understanding of data integration including basic SQL and APIs, and willingness to learn production
• Curious, proactive, collaborative mindset with strong communication skills.

🎁 Benefits

• Opportunities to explore modern cloud technologies.
• Contribute to meaningful projects.
• Grow engineering skills while learning from a talented team.
• Hybrid working policy.