Innovation AI Engineer
Tasks
- Build end-to-end ML workflows
- Conduct ML experiments
- Contribute to external AI research projects
- Design cloud based web and AI applications
- Develop agentic AI solutions
- Develop generative AI prototypes
- Drive collaboration with business stakeholders
- Evaluate emerging AI technologies
- Identify AI use cases
- Implement machine learning pipelines
- Run model evaluations and document results
- Scout AI startups and products
- Write and review software code
Perks/Benefits
- Flexible working hours
- Hybrid work model
- Life insurance
- Online learning platform
- Optional pension plan
- Private health insurance
- Remote work
- Vacation days
Skills/Tech-stack
Agent Development Kit | Agent Frameworks | Agentic AI | Artificial Intelligence | BigQuery | Cloud platform | Data Preprocessing | Deep learning | DevOps | Federated Learning | Generative AI | Git | GitHub | Google Agent Development Kit | Google Cloud | Google Cloud Platform | Hugging Face | Hyperparameter Tuning | Jupyter | Langchain | Langgraph | Linear Algebra | Linux | Looker | ML Experimentation | Machine Learning | Machine Learning Pipelines | NumPy | Pandas | Probability | Prompt engineering | PyTorch | Python | Reinforcement Learning | Scikit-learn | Statistics | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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