About Us We are a leading online platform for working capital, recognized by Forbes as one of the 'Fintech 50'. Our mission is to help businesses gain access to the capital they need to grow. We serve over one million businesses in 180 countries, representing more than $10.5 trillion in annual sales. As a passionate advocate for technical solutions, we value quality and strive to build innovative products that solve real-world problems. We prioritize work-life balance and promote a continuous learning culture, empowering our employees to thrive in a dynamic environment. Job Summary We seek an experienced Senior Engineer to join our Machine Learning Operations (MLOps) team. In this role, you will design, develop, and maintain scalable MLOps pipelines and infrastructure, collaborating with data scientists and stakeholders to ensure successful deployment and monitoring of machine learning models. 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. 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 related field. 5+ years of experience in software engineering, with 2+ years in ML. Proficient in Python and at least one other programming language. Extensive experience with containerization technologies and cloud platforms. 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. Benefits We offer a comprehensive benefits package, flexible work options, volunteer time off, and more. Learn about our benefits here. Commitment to Diversity and Inclusion We value diversity and equality, empowering our team members to bring their authentic selves to work daily. We recognize the power of inclusion, emphasizing that each team member was chosen for their unique ability to contribute to our mission. Our goal is to create a workplace that reflects the communities we serve and our global clients. ),
Job Title
Data-Driven Infrastructure Specialist