Senior Data Science | Python & MLOps | Data & AI
Tasks
- Build automated data training and inference pipelines
- Containerize and orchestrate workloads
- Create data storytelling for stakeholders
- Deploy machine learning models to production
- Design model architectures for NLP and computer vision
- Implement CI CD for machine learning
- Lead end-to-end machine learning projects
- Manage model and data versioning
- Monitor data drift and model drift
- Perform exploratory data analysis
- Provide technical mentorship and code reviews
Perks/Benefits
- Career development program
- Gym membership discounts
- Health insurance
- Hybrid work
- Life insurance
- Meal allowance
- Performance bonus
- SESC benefits
- Technology academies
- Telepsychology
- Totalpass
- Transportation allowance
- University program
- Yoga
Skills/Tech-stack
Airflow | BigQuery | CI/CD | Cloud Run | Computer Vision | Dataproc | Deep learning | Docker | Fine Tuning | GKE | Git | Integration Testing | Kubernetes | Langchain | Language Processing | Linear Algebra | Llamaindex | MLOps | MLflow | Machine Learning | Model Registry | Natural Language | Natural Language Processing | Pandas | Probability | Prompt engineering | PyTorch | Python | RAG | SOLID | SQL | Scikit-learn | Statistics | TensorFlow | Unit Testing | Vertex AI | Vertex Model Registry | Vertex model | XGBoost
Education
N/A
Roles
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