Machine Learning Ops Job in Planful
Job Summary
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience (5+ years) in machine learning operations, DevOps, or software engineering roles, with a focus on deploying and managing machine learning models in production.
- Strong proficiency in programming languages such as Python, Java, or , with experience in building and deploying scalable software applications.
- Solid understanding of cloud computing platforms, particularly AWS, Azure, or GCP, and experience Experience with CDC techniques to build the data pipelines from relational databases to ML systems is a must.
- Familiarity with containerization technologies such as Docker and orchestration tools such as Kubernetes.
- Knowledge of CI/CD pipelines, version control systems (e.g., Git), and continuous integration and deployment practices.
- Strong problem-solving skills, with the ability to troubleshoot complex issues and implement effective solutions.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Familiarity with Agile/Scrum methodologies and experience working in an Agile development environment.
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