Principal Full Stack ML Engineer – Evinova
Tasks
- Collaborate on AI initiatives and business objectives
- Collaborate with cross-functional teams
- Deliver production-ready code
- Deploy and monitor machine learning models
- Design and implement agentic systems
- Design and implement machine learning models
- Develop and maintain data pipelines
- Implement code testing and documentation best practices
- Implement infrastructure-as-code
- Lead end-to-end ML lifecycle
- Mentor team members
- Prepare data for model training
- Translate prototypes into production systems
Perks/Benefits
- N/A
Skills/Tech-stack
API documentation | AWS CDK | AWS IAM | Amazon CloudWatch | Amazon EKS | Amazon S3 | CI/CD | Deep learning | Dependency Injection | Docker | Error Handling | FastAPI | GitHub Actions | Graph Databases | Kubernetes | LLM APIs | Language Models | Large Language Models | Logging | Machine Learning | NumPy | Optuna | Pandas | PyTorch | Python | REST API | SQL | SciPy | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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