Job Title

About Us We're looking for a Senior Software Engineer to join our Machine Learning Operations (MLOps) team. Job Description: We're seeking an experienced and talented senior software engineer to design, develop, and maintain scalable and reliable MLOps pipelines and infrastructure. In this role, you will collaborate closely with data scientists, software engineers, and other stakeholders to ensure the successful deployment and monitoring of machine learning models in production environments. Your responsibilities will include designing and implementing robust MLOps pipelines for model training, evaluation, deployment, and monitoring using industry-standard tools and frameworks. You'll also work with data scientists to streamline the model development process and ensure seamless integration with MLOps pipelines. In addition, you'll optimize and scale machine learning infrastructure to support high-performance model training and inference. You'll contribute to the development of MLOps standards, processes, and documentation within the organization. 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 for work/life balance, 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, emphasizing that each team member was chosen for their unique ability to contribute to the overall success of our mission.