CT_NITRO Experimental AI Engineer
Tasks
- Automate data science infrastructure
- Clean and preprocess data
- Design data models
- Design generative AI models
- Develop and deploy large language models
- Implement machine learning algorithms
- Integrate AI insights into products
- Migrate data between systems
- Oversee data science lifecycle
- Peer review models
- Validate and optimize models
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | Containerization | Data Modeling | Data Quality | Data Visualization | Data Wrangling | Databricks | Docker | Document Databases | Fine Tuning | GCP | GPU Computing | Generative AI | Git | Hadoop | Keras | Language Models | Large Language Models | MLlib | MXNet | Machine Learning | NLP | Prompt engineering | PyTorch | Python | SQL | Scikit-learn | Spark | Supervised Learning | TensorFlow | Unsupervised Learning | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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