Data Science Analyst - Agentic AI Developer
Tasks
- Build data pipelines
- Build recommendation and classification models
- Collaborate with stakeholders to integrate AI into workflows
- Collect and preprocess datasets
- Continuously improve models for accuracy and reliability
- Create REST APIs
- Deploy and optimize AI solutions
- Detect anomalies
- Develop AI Agent workflows
- Develop LLM-powered applications
- Develop forecasting and predictive analytics
- Develop scalable software components
- Generate dashboards and reports
- Implement retrieval-augmented generation
- Monitor and evaluate model performance
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | Azure | Data Pipelines | Data Visualization | Docker | Feature Engineering | Generative AI | Git | Google Cloud | Language Models | Large Language Models | Learning operations | MLOps | Machine Learning | Machine Learning Operations | Matplotlib | Model Evaluation | NLP | Plotly | Power BI | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistics | Tableau | TensorFlow | Vector Databases | Vector Search | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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