Scientific AI & ML Engineer designing and deploying innovative AI - driven solutions. Collaborating with teams to solve complex scientific challenges through advanced machine learning techniques.
About the role
- MLOps Engineer developing cloud infrastructure for AI applications at SS&C Technologies, specializing in financial services. Collaborating with teams to ensure robust deployment and monitoring.
Responsibilities
- 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
Requirements
- Bachelor's 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.
Benefits
- Competitive salary and performance-based bonuses
- Comprehensive benefits package, including health, dental, and retirement plans
- Opportunities for professional growth and career advancement
- A collaborative work environment focused on innovation, learning, and excellence
Job title
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