Lead Machine Learning Engineer
Tasks
- Architect and implement end to end machine learning systems
- Build and maintain production MLOps pipelines
- Collaborate with cross functional teams for ML deployment
- Define and evolve engineering best practices
- Develop reusable accelerators frameworks and tooling
- Develop, deploy, and optimize machine learning models
- Ensure software engineering quality with testing and CI CD
- Lead client-facing technical discussions
- Lead technical strategy for machine learning solutions
- Mentor and coach engineers through code reviews
Perks/Benefits
- Annual learning and equipment budget
- Company provided MacBook
- Employer Paid Dental Benefits
- Employer paid health benefits
- Employer paid virtual medical benefits
- Fully remote work
- Home office support
- Paid certifications
- Paid vacation
- Professional learning platform access
- Public holidays
- Regular off sites and team events
- Retirement savings plan with employer matching
- Wellness days
Skills/Tech-stack
AI Pipelines | CI/CD | Cloud platform | Distributed Computing | FastAPI | Flask | GCP | GenAI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | MLOps | MLflow | Machine Learning | Predictive Analytics | Python | REST APIs | Recommendation Systems | SQL | Terraform | Testing | Vertex AI | Vertex AI pipelines | “as-code”
Education
N/A
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