ML Engineer
- Assign projects and manage team workloads
- Build end-to-end ML pipelines
- Coach and mentor team members
- Collaborate with cross-functional teams
- Design scalable automated data processes
- Develop machine learning models
- Improve model accuracy after delivery
- Integrate AI ML solutions with business requirements
- Lead AI ML project delivery lifecycle
- Manage responsible AI compliance
- Monitor model performance
- Oversee project milestones and governance
- Perform model validation and testing
- Train validate and deploy models
Perks/Benefits:
- Annual leave
- Digital learning platforms
- Employee assistance program
- Flexible working arrangements
- Learning & development opportunities
- Life insurance
- Medical coverage
- Mental health resources
- Parental/maternity leave
- Resilience training
- Retirement savings plan
- Sabbatical
- Volunteering leave