Senior MLOps Engineer

IMPORTANT

Geography : Candidates based in India

Job type : Permanent

Work type : 100% Remote

Notice Period : 2 weeks or less

Engagement : Full-time, 4-5 hours (PST overlap)

About The Role

A leading company specializing in delivering cutting-edge AI and machine learning solutions is seeking a seasoned ML Platform Engineer. This role involves designing and implementing scalable MLOps platforms for Fortune 500 clients, enabling seamless development, deployment, and maintenance of machine learning models. The successful candidate will leverage deep expertise in cloud platforms and DevOps practices to bridge the gap between data science and operations, contributing to transformative AI projects.

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.
• Develop tools and interfaces for data scientists to easily utilize the platform&aposs capabilities.
• Bridge the gap between data science and operations, enabling efficient development, deployment, and maintenance of ML models at scale.

Must Haves

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Skills Required

Devops, Machine Learning, Google Cloud Platform, Docker, Azure, Kubernetes, Python, Aws