AI Engineer
Tasks
- Apply MLOps practices for testing deployment monitoring and model evaluation
- Build production ready AI solutions
- Collaborate with data scientists data engineers consultants and clients to solve business problems
- Contribute to knowledge sharing within the team
- Develop AI applications using AI frameworks and APIs
- Develop AI powered applications using Large Language Models
- Implement Responsible AI testing and evaluation
- Implement retrieval-augmented generation solutions
- Support deployment and maintenance of AI applications
- Translate business requirements into AI enabled solutions
- Use prompt engineering to improve model outputs
- Use version control for models and experiments
Perks/Benefits
- Annual bonus
- Flexible working hours
- Fully remote in Poland
- Health benefits
- Professional development support
- Remote work allowance
Skills/Tech-stack
API Integration | Cloud Computing | Containers | Deployment | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Monitoring | Power Automate | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Testing | Version control | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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