Data Scientist
Tasks
- Apply feature engineering
- Build predictive analytics models
- Build proof-of-concept solutions
- Build retrieval-augmented generation pipelines
- Define data requirements with stakeholders
- Deploy LLM applications
- Deploy models using cloud services
- Develop statistical models
- Fine-tune large language models
- Implement MLOps for scalable deployment
- Implement semantic search with vector databases
- Perform exploratory data analysis
- Research ML deep learning and AI techniques
- Set up CI CD pipelines for ML
- Translate machine learning into business insights
- Tune and optimize machine learning models
- Use Docker and Kubernetes for deployment
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Apache Hadoop | Apache Spark | Azure Machine Learning | CI/CD | Data Lakes | Databricks | Deep learning | Docker | ETL | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Hugging Face | Jupyter Notebooks | Keras | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | NoSQL | NumPy | Pandas | PyTorch | Python | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Semantic Search | TensorFlow | Vector Databases | Vertex AI
Education
N/A
Roles
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