The revolution in human-centric payments is being spearheaded by Trustly.  For us, this entails fervently creating the most practical, wise, and responsible online payment method.  We're all for a better way to pay, whether it's for online gaming, shopping, subscription payments, trading account financing, airline reservations, and much more.  We are fundamentally a technology corporation with cutting-edge technological skills.  We will therefore always have a voracious desire for innovation.  As it links hundreds of millions of consumers with thousands of businesses, Trustly is continuously expanding.  And as a genuinely global workforce, we are spearheading the human-centric payment revolution with a significant presence throughout Europe and the Americas.
Concerning the Data domain  With the goal of making Trustly a really data-driven business, the Data domain is a component of the Product and Tech function. We are responsible for every aspect of the data journey, from collection & modeling to analysis and visualization.We supply data and analytics artifacts to the entire business with the goal of enhancing our operations, decision-making, and customer experience.
Regarding the position:
To join our Machine Learning team, we are looking for a talented Machine Learning Engineer.  Building and implementing machine learning models that support and automate crucial business decisions inside our product services is what a machine learning engineer does.  Working on state-of-the-art machine learning applications, collaborating with a multidisciplinary team, and taking charge of entire machine learning lifecycles are all opportunities that await you.  We would love to have you on board if you have a strong interest in ML and AI, solving problems, and creating scalable solutions.
What you're going to do:
Model Creation and Enhancement:  Using feature selection, hyperparameter tuning, and model lifecycle management, create end-to-end pipelines to implement machine learning models in commercial settings and enhance model performance over time.
Data Pipeline Design & Management: To guarantee high-quality, near-real-time input for machine learning models, create and manage effective data pipelines for data collection, preprocessing, and feature transformation.
Monitoring Performance:  
To maintain a high level of model performance over time, track and assess feature drift and the performance of deployed models, making sure they satisfy business needs and making any necessary adjustments.
Collaborate Across Teams: 
To comprehend business needs and convert them into scalable machine learning products, work collaboratively with data scientists, software engineers, architects, and product managers.
Keep Up with the Trends:  
Stay abreast on the most recent developments in AI and machine learning technology, utilizing fresh approaches and resources to improve the efficiency of your work.
Who you are
Experience: 
You have developed and implemented machine learning models in a production setting with near real-time latency for more than five years.
Education: 
You hold a Master's degree in mathematics, computer science, engineering, or a similar discipline.
Technical Proficiency: 
Able to use Python, Java, or C++ as programming languages.
familiarity with machine learning frameworks like PyTorch, MLFlow, TensorFlow, Keras, Sagemaker, and others.
strong knowledge of statistics, optimization methods, and machine learning algorithms.
familiarity with CI/CD pipelines for model deployment, infrastructure as code, model lifetime, and ML operations.
knowledge of cloud computing systems, such as AWS and Google Cloud, and the ability to expand the deployment of machine learning models on these platforms.
familiarity with distributed computing and large data tools (such as Spark and Apache Beam/Flink)
familiarity with Kafka (or comparable) streaming data pipelines
familiarity with containerization tools (like Docker) and version control systems (like Git).
Open banking experience is preferred but not necessary.
Are you the type of person who speaks up for new ideas and takes action?  Do you think effective communication with all parties involved is important?  We want to bolster the team with committed, driven individuals who enjoy collaborating with various departments throughout the company.
If you feel that your skill set and personality compliments the criteria above, apply now and kindly submit your CV in English.