Applied AI Engineer
Tasks
- Build train evaluate and iterate machine learning models
- Co design machine learning prototypes
- Communicate business AI opportunities to AI ML product leads
- Deploy models as production services
- Develop Agentic AI systems
- Develop LLM based tools
- Develop reusable AI patterns and pipelines
- Embed privacy ethics and regulatory considerations
- Provide AI ML guidance
- Run workshops and training sessions
- Transfer knowledge to partner teams
- Translate stakeholder requirements into technical solutions
Perks/Benefits
- Health care benefits
- Paid Holidays
- Paid caregiver leave
- Paid leave for family medical needs
- Paid medical leave
- Paid parental leave
- Retirement benefits
- Vacation
Skills/Tech-stack
APIs | Amazon Web Services | CI/CD | Causal Inference | Cloud Computing | Cloud platform | Computer Vision | Containerization | Deep learning | Docker | Ethics in AI | Experiment tracking | Feature Engineering | Git | GitHub | Google Cloud | Google Cloud Platform | JAX | Knowledge graphs | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Evaluation | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | RAG | Responsible AI | Scikit-learn | TensorFlow | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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