AI/ML Engineer
Tasks
- Build AI solutions with Azure or AWS tooling
- Conduct technology reviews for AI machine learning computer vision and NLP
- Design develop and deploy Generative AI models
- Develop AI safety and content moderation systems
- Implement MLOps and LLMOps pipelines
- Integrate AI components into production systems
- Optimize machine learning and foundation models
- Refine prompts and retrieval augmented generation systems
- Train models on unstructured data
Perks/Benefits
- Conference participation
- Group insurance
- Hybrid work
- Multisport card
- Paid referral program
- Private health care
- Staff travel benefits
- Training opportunities
Skills/Tech-stack
AWS | Azure | Computer Vision | Generative AI | LLMOps | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Python | RAG | Retrieval-Augmented Generation | Unstructured Data
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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