Senior Machine Learning Engineer II
Tasks
- Build and deploy APIs
- Build and maintain ML infrastructure
- Collaborate with cross-functional stakeholders
- Collect preprocess and clean text datasets
- Deploy ML AI models to production
- Design scalable ML/AI solutions
- Develop ML pipelines for data processing and training
- Develop unit tests
- Evaluate LLM models in production
- Implement version control with Git
- Lead AI assistant behavior improvements
- Lead Operations AI technical initiatives
- Monitor models in production
- Optimize and fine-tune machine learning models
- Pilot voice assistant using existing AI components
- Set up CI/CD workflows
Perks/Benefits
- Conference support
- Corporate pension match
- Diversity and inclusion
- L D budget
- Paid time off
- Referral bonus
- Sabbatical
- Subsidized office lunches
- Time off for public holidays
- Virtual stock options
Skills/Tech-stack
API Design | AWS | Airflow | Artificial Intelligence | Azure | CI/CD | Cloud Computing | Data Pipelines | Deep learning | Docker | GenAI | Git | GitHub Actions | Google Cloud | Kubeflow | Kubernetes | LLM Evaluation | Langfuse | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Python | Text preprocessing | Unit Testing
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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