AI Engineer (Hybrid; m/f/x/d; 80-100%)
Tasks
- Assess emerging technologies for business use cases
- Build end-to-end AI pipelines
- Collaborate with stakeholders to translate requirements
- Deploy and monitor AI models in production
- Design and develop AI solutions
- Engineer and optimize prompts
- Implement MLOps best practices
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | Cloud platform | Continuous integration | Continuous integration/deployment | Embeddings | Fine Tuning | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Integration deployment | Language Models | Large Language Models | MLOps | MLflow | Prompt engineering | PySpark | PyTorch | Python | Retrieval-Augmented Generation | SQL | TensorFlow | Vector Databases | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer
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