About the job
Responsibilities: • Design and develop autonomous / agentic AI workflows that can plan, reason, and take goal-directed actions using LLMs and tool-calling capabilities. • Implement, train, and optimize regression models (linear, regularized, tree-based, ensemble, and nonlinear regression). • Build end-to-end pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring. • Develop Python-based services (FastAPI / Flask) to expose models and agents as robust, scalable APIs. • Integrate agents with external tools and systems (databases, REST APIs, vector stores, message queues) to enable complex workflows. • Evaluate model and agent performance using appropriate metrics, perform error analysis, and iteratively improve robustness and reliability.
Requirements
- Python
- Machine Learning
- Regression Techniques
- API Development
Preferred Technologies
- Python
- Machine Learning
- Regression Techniques
- API Development
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