Advisor, Data Science
Tasks
- Build NLP machine learning solutions
- Build predictive models and probabilistic engines
- Collaborate with teams to gather customer requirements
- Conduct data exploration and data preparation
- Consolidate and analyze unstructured data
- Develop business strategy recommendations from analysis
- Implement model monitoring and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | AWS | Agentic RAG | Azure | CI/CD | ChromaDB | Computer Vision | Convolutional Neural Networks | Correlation Analysis | Data Visualization | Dimensionality Reduction | Django | Docker | Ensemble learning | Exponential Smoothing | Feature Selection | Fine Tuning | Flask | GCP | Generative AI | Git | Gradient boosting | Grafana | GraphQL | HTTP | Hugging Face | Hugging Face Transformers | Kafka | Kubernetes | LIME | LLMOps | Langchain | Langfuse | Language Models | Language Processing | Large Language Models | Long Short-Term Memory | MLOps | Machine Learning | Matplotlib | Model Explainability | Multimodal RAG | Natural Language | Natural Language Processing | Neural Networks | Observability | PGVector | Plotly | PostgreSQL | Power BI | Prometheus | Prompt engineering | PyTorch | Python | RAG | REST | RabbitMQ | Random Forest | Regression | SARIMA | SHAP | SQL | Series analysis | Series forecasting | TensorFlow | Time Series | Time Series Analysis | Time Series Forecasting | Vector embeddings | You Only Look Once | ZeroMQ
Education
N/A
Roles
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