Machines Learning Innovator Stockholm Sweden

4 days ago


Stockholm, Stockholm, Sweden Trustly Group Full time

About Trustly

We're transforming online payments by crafting a seamless, intelligent and responsible way to make transactions. Our tech capabilities set us apart, but it's our innovative people who drive us forward in our field.

Our Vision

We're on a mission to connect thousands of businesses with hundreds of millions of people across Europe and the Americas, leading the human-centric payment revolution as a truly global team.

About the Data Domain

The Data domain is part of our Product and Tech function, driving Trustly into a data-driven organization. We collect, model, analyze and visualize data to enhance decisions, operations and customer experience.

The Role

We're seeking a talented Machine Learning Engineer to join our Machine Learning team. You'll work on building and deploying machine learning models to drive business decisions within our product services.

Key Responsibilities

  • Model Development & Optimization: Develop end-to-end pipelines to deploy machine learning models and continuously improve model performance.
  • Data Pipeline Design & Management: Build and maintain efficient data pipelines for high-quality near real-time input for ML models.
  • Performance Monitoring: Monitor feature drift and model performance, ensuring they meet business requirements.
  • Cross-Functional Collaboration: Work with data scientists, software engineers, architects and product managers to translate business needs into scalable machine learning products.
  • Staying Ahead of Trends: Keep up with latest advancements in machine learning and AI technologies to enhance effectiveness.

Requirements

  • Experience: 5+ years of hands-on experience developing and deploying machine learning models in production environments.
  • Education: Master's degree in Computer Science, Engineering, Mathematics or a related field.

Technical Skills:

  • Proficient in Python, Java or C++.
  • Experience with ML frameworks like Sagemaker, MLFlow, TensorFlow, Keras, PyTorch.
  • Strong understanding of machine learning algorithms, statistics and optimization techniques.
  • Experience working with ML Operations, model lifecycle, infrastructure as code and CI/CD pipelines.
  • Familiarity with cloud platforms like AWS, Google Cloud.
  • Experience with big data tools and distributed computing.
  • Knowledge of version control systems and containerization tools.

Collaborate and Thrive

As a dedicated and highly motivated individual, you will thrive in working with different areas across the organisation. If your skill set and personality match our criteria, we encourage you to apply now.



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