Machine Learning Operations Specialist
15 hours ago
C2FO is a global leader in fintech, serving over one million businesses in 180 countries, representing $10.5 trillion in annual sales. We are committed to empowering businesses to thrive through innovative working capital solutions.
Job DescriptionWe are seeking an experienced Senior Engineer to join our MLOps team. In this role, you will play a crucial part in designing, developing, and maintaining scalable and reliable machine learning operations (MLOPs) pipelines and infrastructure.
Key Responsibilities- Design and implement robust MLOPs pipelines for model training, evaluation, deployment, and monitoring using industry-standard tools and frameworks.
- Collaborate with data scientists to streamline the model development process 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 and support junior team members in MLOPs practices and technologies.
- 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.
The estimated salary for this role is $120,000 - $150,000 per year, depending on experience. C2FO offers a comprehensive benefits package, including flexible work options for work-life balance, volunteer time off, and more.
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