Job Title

Machine Learning Engineer - Data Infrastructure About Us : We are a cutting-edge fintech company transforming the global economy. Our online platform serves over one million businesses in 180 countries, representing more than $10.5 trillion in annual sales. We value technical excellence and strive to build innovative solutions that drive business growth. Our team is passionate about creating a continuous learning culture, with opportunities for professional development and work-life balance. Our Mission : We are seeking an experienced Machine Learning Engineer to join our data infrastructure team. In this role, you will design, develop, and maintain scalable and reliable machine learning pipelines and infrastructure. Your Responsibilities : Design and implement robust MLOps pipelines using industry-standard tools and frameworks Collaborate with data scientists to streamline model development and ensure seamless integration with MLOps pipelines Optimize and scale machine learning infrastructure to support high-performance model training and inference Contribute to the development of MLOps standards, processes, and documentation within the organization Mentor junior team members in MLOps practices and technologies Stay up-to-date with the latest trends and best practices in MLOps Requirements : Bachelor's or Master's degree in Computer Science, Statistics, or a related field 5+ years of experience in software engineering, with 2+ years experience in ML Proficient in Python and at least one other programming language (e.g., Java, Go, C++) Extensive experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Familiarity with machine learning frameworks and MLOps tools Experience with big data technologies Strong understanding of CI/CD principles and practices Preferred Qualifications : Familiarity with model serving frameworks Knowledge of infrastructure as code (IaC) tools Experience with monitoring and observability tools Contributions to open-source MLOps projects or communities Benefits : We offer a comprehensive benefits package, flexible work options, volunteer time off, and more. Learn more about our benefits here. Commitment to Diversity and Inclusion : We value diversity and equality and empower our team members to bring their authentic selves to work daily. We recognize the power of inclusion and emphasize that each team member was chosen for their unique ability to contribute to our mission.