Data Science & Engineering Analyst
Tasks
- Build data pipelines
- Collaborate with marketing sales and risk teams
- Define team standards and best practices
- Deploy machine learning models to production
- Develop LLM based document intelligence solutions
- Develop agent-based workflows
- Develop machine learning models end-to-end
- Drive innovation and digitalization initiatives
- Implement NLP algorithms
- Mentor junior team members
- Monitor machine learning models
- Present insights to technical and non-technical stakeholders
- Translate business needs into data-driven solutions
Perks/Benefits
- Birthday day off
- Childcare support
- Digital disconnection
- English classes
- Flexible benefits
- Gym discounts
- Home office stipend
- Hybrid work model
- Life insurance
- Marathon and race participation support
- Medical insurance
- Mentoring program
- Product and service discounts
- Restaurant tickets
- Retirement plan
- Training programs
- Vacation time
- Volunteer day
Skills/Tech-stack
AWS SageMaker | CI/CD | Fraud Detection | Git | Hugging Face | Hugging Face Transformers | LLM | Langchain | Llamaindex | MLOps | MLflow | Machine Learning | Model Monitoring | NLP | NLTK | Pandas | Pricing | PySpark | Python | SQL | Scikit-learn | Spacy | XGBoost
Education
N/A
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