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Cloud-Based MLOps Developer

2 weeks ago


Anywhere in IndiaMultiple Locations Yo HR Consultancy Full time

About the Company

Yo HR Consultancy is a leading provider of cutting-edge AI and machine learning solutions. We are committed to delivering innovative technologies that enable our clients to achieve their business goals.

About the Role

We are seeking a highly skilled Cloud-Based MLOps Developer to join our team. As a senior developer, you will play a critical role in designing and implementing MLOps platforms for our clients, enabling them to develop, deploy, and maintain machine learning models at scale.

Key Responsibilities

  • Evaluate and select appropriate cloud services for each stage of the ML lifecycle.
  • Design and implement the overall architecture of the MLOps platform.
  • Set up automated pipelines for data preparation, model training, and deployment.
  • Implement version control for code, data, and models to maintain reproducibility and traceability.
  • Ensure the platform is scalable, secure, and compliant with relevant regulations.
  • Provide tools and interfaces for data scientists to easily leverage the platform.
  • Continuously optimize the platform for performance and cost-efficiency.

Requirements

  • Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
  • At least 10+ years of professional experience in building cloud-based applications, including ML platforms.
  • Extensive expertise in cloud platforms like AWS, Google Cloud Platform, or Azure (Azure preferred).
  • Proficiency in DevOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.
  • Strong understanding of ML workflows, model training, deployment processes, and data engineering pipelines.
  • Advanced programming skills, particularly in Python, with a focus on ML applications.
  • Experience in designing secure, scalable systems that adhere to regulatory compliance.
  • Demonstrated ability to collaborate with cross-functional teams, including data scientists and software engineers.