Sanlam Life and Savings is seeking a Machine Learning Engineer to join their AI Solutions team. The successful candidate will be responsible for designing, building, and maintaining scalable, resilient, and efficient ML infrastructure and deployment pipelines. The role will involve collaborating with AI Solutions Engineers, Data Scientists, Cloud Architects, and business stakeholders to bring transformative AI use cases to life across the organization.
Requirements
- Design, implement, and maintain production-grade ML/AI pipelines using CI/CD best practices
- Lead the integration of DevOps practices within the ML lifecycle
- Deploy and optimize machine learning models in cloud-native environments
- Implement MLOps best practices around model versioning, validation, retraining, and monitoring
- Innovate within the DevOps space to create novel frameworks and automation strategies
- Collaborate with business development teams and Group Technology SMEs to understand requirements and deliver robust, scalable AI solutions
- Perform root cause analysis and resolve system issues across both infrastructure and application layers
- Provide architectural guidance for AI/ML solution design and deployment
- Enable cross-functional teams through tooling, documentation, and mentoring on scalable AI/ML development
- Mentor and coach junior engineers and team members
- Stay informed about emerging trends and technologies in DevOps, MLOps, and AI deployment strategies
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance