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- Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
- Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
- Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
- Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
- Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.
- 3 to 5 years of hands-on experience in developing and managing machine learning or data platforms
- Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
- Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
- Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
- Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.
Sr Platform Engineer Machine Learning - Mumbai, India - Edu Angels India Private Limited
