Machine Learning Engineer
Summary
Build and deploy ML models end-to-end, from prototypes to production, using MLOps and mentoring teammates.
- Collaborate with data scientists and engineers
- Contribute to ML technical roadmaps
- Deploy machine learning solutions
- Design machine learning solutions
- Develop machine learning solutions
- Develop ml engineering tools and methods
- Implement end-to-end ML workflows
- Maintain machine learning solutions
- Manage ML lifecycle with MLOps
- Mentor team members and support training
- Monitor machine learning systems
- Test machine learning solutions
- Transform prototypes into production systems
Perks/Benefits:
- Employee Assistance Program (EAP)
- Flexible working environment
- Hybrid work
- LinkedIn Learning
- Ongoing trainings
- Personal and professional growth opportunities
- Volunteer time off