About us : We are a leading platform for working capital, empowering businesses to thrive. Our mission is to transform the global economy by providing innovative solutions that drive growth and success. As a pioneering fintech company, we have revolutionized the way businesses access the working capital they need to grow. With over one million customers in 180 countries, representing more than $10.5 trillion in annual sales, we are proud of our impact on the global economy. We value technical excellence, continuous learning, and work-life balance. Our team members enjoy a collaborative environment, flexible work options, volunteer time off, and a comprehensive benefits package. Join us in shaping the future of working capital! MLOps Engineer We are seeking an experienced MLOps Engineer to join our dynamic team. As a key member of our MLOps team, you will play a critical role in designing, developing, and maintaining scalable and reliable machine learning operations pipelines and infrastructure. 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. Key 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. We offer: A comprehensive benefits package, including health insurance, retirement plan, and paid time off. Flexible work options, including remote work arrangements. Volunteer time off to give back to the community. Ongoing training and professional development opportunities. Equal Opportunity Employer : We value diversity and equality, promoting an inclusive work environment where everyone feels valued and respected. We welcome applications from qualified candidates who share our commitment to excellence and innovation.
Job Title
Expert Machine Learning Operations Specialist