MLOps Engineer

SS&C Technologies

3 - 8 years

12 - 16 Lacs

mumbai thane pune

Posted:1 day ago| Platform:

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Skills Required

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Work Mode

Work from Office

Job Type

Full Time

Job Description

Design, implement, and maintain scalable cloud infrastructure for AI applications using AWS services, with a focus on ECS, S3, RDS, and Bedrock.
Manage deployments with Kubernetes clusters, ensuring high availability and performance, and integrating with our existing infrastructure best practices.
Develop and maintain CI/CD pipelines.
Develop and expand our Infrastructure-as-Code (IaC) with Terraform to ensure consistent and reproducible deployments across multiple environments.
Collaborate with Python developers to containerize AI applications and optimize them for production deployment.
Design and implement cloud networking solutions that support secure and efficient communication between AI microservices.
Maintain and monitor security best practices for AI applications, including secrets management, access controls, and compliance requirements.
Troubleshoot and resolve infrastructure-related issues across the AI application stack, ensuring minimal disruption to business operations.
Stay updated with emerging MLOps tools, cloud technologies, and industry best practices to continuously improve our deployment and infrastructure capabilities.
Participate in the strategic planning of AI Innovation infrastructure, identifying opportunities for automation and process improvement.

Required Qualifications:

Bachelors degree in Computer Science, Software Engineering, DevOps, or a related technical field.
3+ years of experience in DevOps, MLOps, or cloud infrastructure engineering.
Proven experience with AWS cloud services, particularly ECS, S3, RDS, IAM, and networking components.
Strong expertise in Infrastructure as Code tools, specifically Terraform for cloud resource management.
Experience building and maintaining CI/CD pipelines for application deployment, preferably with ML/AI applications.
Strong understanding of containerization technologies and best practices for production deployments.
Experience with cloud networking, security, and compliance best practices.
Basic Python and software development skills.
Excellent communication and collaboration skills, with the ability to work effectively with development teams and stakeholders.

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