AI / ML Engineer
Tasks
- Apply responsible AI practices
- Build and deploy AI features into enterprise systems
- Collaborate with IT business stakeholders and data governance teams
- Create workflow automation solutions
- Design and evaluate AI/ML models
- Develop chatbot and copilot applications
- Ensure model accuracy explainability and compliance
- Prepare and manage datasets for training and evaluation
- Prototype AI solutions and test emerging tools
- Recommend best practices for AI adoption
- Translate business needs into AI solutions
Perks/Benefits
- Colleague resource groups
- Employee assistance program
- Flex PTO
- Flexible work arrangements
- Mental health resources
- Professional development support
- Remote work options
- Summer hours
- Wellness platform
- Winter break
Skills/Tech-stack
AI SDK | Agile | Automation workflows | Azure AI | Azure AI SDK | Azure OpenAI | Chatbots | Copilot Studio | Copilots | Data Governance | Data Protection | Data Science | Dataset Preparation | Langchain | Machine Learning | Machine Learning Pipelines | OpenAI SDK | Pandas | Power Platform | Python | Responsible AI | SQL
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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