ML Platform Engineer

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySoftware Engineering Job Details About SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are seeking a highly skilled and motivated AI Platform Engineer to play a pivotal role in the development of our ML/AI platform. This role will be instrumental in building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin our machine learning initiatives and product launches. You will work on critical projects that directly impact our marketing, sales, service, and product growth verticals of the organization..This isn't a traditional infrastructure role. You should be open to wearing multiple hats-including but not limited to infrastructure, software engineering, and UI/UX development. We're looking for innovative, out-of-the-box thinkers who aren't afraid to experiment, build complex systems, and tackle challenges across the stack.What You'll DoKey Responsibilities:Infrastructure Development: Design, implement, and manage secure and scalable cloud infrastructure (primarily AWS) including networking, permissions management, data management, and kubernetes.ML Platform Services: Develop and maintain core ML platform components such as Model Registry, permissions services for project access, and tools for SageMaker default setup and deployments.CI/CD and Workflow Automation: Build and optimize CI/CD pipelines using GitHub Actions for efficient and secure code deployment, Docker and package building, and security scanning.Networking: Ensure robust and secure connectivity for the platform, including ingress (public and VPN), egress, and domain management (Route53). Manage service mesh (Istio) for traffic routing and security trust between micro services.Tooling and Automation: Implement and manage essential tooling to enhance developer productivity and platform security, including secrets management, package/dependency management, testing frameworks, developer self-service tools, automation scripts/bots, and observability integrations.Monitoring and Reliability: Contribute to establishing monitoring solutions (e.g., Grafana, PagerDuty) and integrate security scanning to ensure platform health and security.Security & Compliance: Participate in security reviews and ensure all platform components adhere to security best practices and compliance requirements.Collaboration: Work closely with cross-functional teams, including ML engineers, data scientists, and product managers, to deliver robust and high-performance solutions.Documentation: Create and maintain comprehensive documentation for infrastructure, services, workflows, and user guides.What We're Looking ForProven experience as a Platform Engineer, Software Engineer, or ML Infrastructure Engineer.Strong software engineering skills, particularly with Python, for building scalable tools, automation scripts, and platform components.Strong expertise in cloud platforms, particularly AWS (IAM, EKS, S3, SageMaker, etc.).Extensive experience with CI/CD tools, especially GitHub Actions and ArgoCDProficiency in infrastructure-as-code principles and tools (e.g., Terraform).Experience with containerization technologies (Docker) and orchestration (Kubernetes).Understanding of networ