Applied Data Scientist/ML Engineer
Tasks
- Build and deploy ML models
- Build feature engineering workflows
- Conduct data exploration and cleansing
- Design model pipelines
- Develop predictive CRM solutions
- Implement NLP applications
- Implement fault tolerance in cloud systems
- Perform data modeling
- Prototype and iterate with agile development
- Resolve production ML issues
- Support enterprise data driven application adoption
- Test and validate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Deep learning | Docker | Feature Engineering | GenAI | GitHub | Jira | Kubernetes | Language Processing | Machine Learning | NLP | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | SQL | Scikit-learn | Spacy | Test-Driven | Test-Driven Development
Education
N/A
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