Principal Business Systems Analyst 2
Tasks
- Automate machine learning workflows
- Build, train, and optimize deep learning models
- Deploy and integrate machine learning services
- Design and develop machine learning models
- Document model architecture and results
- Engineer and transform model features
- Ensure ethical and compliant AI deployment
- Evaluate model accuracy and robustness
- Implement natural language processing and computer vision solutions
- Monitor machine learning models
- Preprocess structured and unstructured data
- Research and experiment with new algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Hadoop | Apache Spark | Azure DevOps | Big Data | CNN | Computer Vision | Data Preprocessing | Databricks | Deep learning | Distributed Training | Explainable AI | Feature Engineering | Flask | Generative AI | Google Dataflow | Keras | Kubernetes | Langchain | Language Processing | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | ONNX | Predictive Analytics | PyTorch | Python | RAG | RNN | Ray Serve | Reinforcement Learning | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Transformers
Education
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