Senior AI/ML Engineer (Magnet-Griffeye)
Tasks
- Build reusable ML engineering infrastructure
- Deploy and integrate AI systems
- Design and prototype agentic workflows
- Develop data preprocessing augmentation and evaluation techniques
- Evaluate ML and AI systems
- Implement ethical responsible and secure AI practices
- Mentor engineers on experimental design and evaluation
- Own AI and ML initiatives end to end
- Train fine tune or adapt models
Perks/Benefits
- Employee Committees
- Employee resource groups
- Generous time off
- Healthcare benefits
- Retirement benefits
- Reward and recognition programs
- Volunteer opportunities
Skills/Tech-stack
AWS | Agentic Workflows | Azure | CI/CD | Data Augmentation | Data Preprocessing | Deep learning | Embeddings | Experiment tracking | Information Retrieval | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model versioning | NLP | PyTorch | Python | RAG | Retrieval-Augmented Generation | Unstructured Data | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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