Data Scientist
Tasks
- Build RAG systems
- Build machine learning pipelines on AWS
- Collaborate in agile environment
- Create dashboards and data visualizations
- Design Agentic AI systems
- Design machine learning models
- Develop LLM-powered applications
- Develop NLP solutions
- Evaluate model performance
- Implement predictive analytics
- Perform data mining and exploratory data analysis
- Recommend data driven AI strategies
Perks/Benefits
Skills/Tech-stack
APIs | AWS | AWS Glue | Agentic AI | Amazon DynamoDB | Amazon Redshift | Amazon S3 | Amazon SageMaker | Apache Airflow | BERT | CI/CD | Data Analysis | Data Mining | Data Modeling | Decision Trees | Deep learning | Embeddings | Exploratory Data Analysis | GitHub | Hypothesis Testing | Jenkins | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | NumPy | Pandas | Probability | Prompt engineering | PyTorch | Python | R | Regression | Retrieval-Augmented Generation | Scikit-learn | Semantic Search | TensorFlow | Transformers | Vector Databases | Vector Search
Education
Master of Engineering | Master of Science | Master of Science in Data Science | PhD
Roles
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