Applied AI/ML - Vice President
Chicago, IL, United States
USD 150K-213K (estimate) Executive-level Full Time
Tasks
- Build batch and real-time prediction pipelines
- Build end-to-end ML/AutoML/AutoNLP pipelines
- Collaborate with business and technology teams to deploy solutions
- Define problem statements and execution roadmap
- Design and run large scale data modeling experiments
- Develop and deploy ML solutions on AWS using SageMaker and related tools
- Develop machine learning models for NLP personalization and recommendations
- Develop training frameworks and evaluate model metrics
- Lead AI/ML program execution
- Operationalize model orchestration for production use cases
- Productionize models with software engineers
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS Glue | Active Learning | Agent systems | Agentic AI | Amazon EC2 | Amazon SageMaker | AutoNLP | Automl | B testing | Big Data | C++ | Continuous integration | Data Science | Deep learning | Experiment design | Generative AI | Hugging Face | Information Retrieval | Java | Language Models | Language Processing | Large Language Models | Machine Learning | Metrics | Model Evaluation | Multi-Agent | Multi-Agent Systems | NLP | NLP classification | Natural Language | Natural Language Processing | NumPy | Pandas | Personalization | Prompt engineering | PyTorch | Python | Recommendation Systems | Reinforcement Learning | Scikit-learn | TensorFlow | Transformers | Unit Testing
Education
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