Software Engineer Overview:
Dynamic Yield by Mastercard is seeking a back-end engineer with a deep passion for machine learning, operations, and technology, combined with a strong drive to implement scalable and efficient solutions. We foster a professional environment where experienced engineers collaborate and contribute to the team's success while continuously enhancing their own skills. As a back-end Engineer, you will have the unique opportunity to play a pivotal role in building and maintaining our machine learning infrastructure and operations.

Role:

• Design, implement, and maintain scalable ML infrastructure for model training, deployment, and monitoring
• Ownership of the technical architecture for new ML operations features and enhancements
• Lead the development and optimization of ML pipelines, ensuring robust and efficient workflows
• Stay updated and lead technological advances in ML operations and infrastructure
• Collaborate with data scientists and engineers to integrate ML models into production systems

All about You/Experience:

• At least 4 years of solid experience in Backend Engineering
• At least 3 years of experience with cloud platforms like AWS, GCP, or Azure
• Minimum 2 years of solid experience with containerization and orchestration tools like Docker and Kubernetes
• Excellent verbal and written communication skills in English
• A degree in Computer Science, Data Science, or a related discipline, or relevant industry experience
• Self-taught practitioners are always welcome
• At least 2 years of experience with continuous integration/continuous deployment (CI/CD) tools and practices
• Hands-on experience building and managing data pipelines and workflows
• Familiarity with SQL & No SQL databases (e.g., My SQL, Redis)
• Experience in Python advantage
• Experience with ML frameworks and libraries such as Tensor Flow, Py Torch, or Scikit-learn

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.