Lead AI Engineer - Workday Products
GBP 80K-108K (estimate) Senior-level Full Time
Tasks
- Bridge data science and software engineering
- Build data pipelines
- Collaborate with cross-functional teams
- Deploy AI machine learning models to production
- Design scalable AI solutions
- Implement CI/CD pipelines
- Integrate AI models into production systems
- Integrate AI solutions with enterprise data systems
- Maintain AI reliability
- Monitor model performance
- Optimize AI performance
- Productionize AI and machine learning solutions
- Translate technical requirements into actionable solutions
- Use MLOps practices
- Version AI models
- Wrangle data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Amazon SageMaker | Artificial Intelligence | Azure | Azure ML | Azure ML Studio | C++ | CI/CD | Cloud Computing | Cloud platform | Convolutional Neural Networks | Data Engineering | Data Pipelines | Data Wrangling | Deep learning | Docker | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Java | Kubernetes | Language Models | Large Language Models | ML Studio | MLOps | Machine Learning | Model Monitoring | Model versioning | Neural Networks | OpenAI GPT | Python | Recurrent Neural Networks | Transformers | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer
Regions
Countries
States
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