- Model Development: Design, train, and fine-tune machine learning and deep learning models.
- Pipeline Engineering: Build effective data pipelines to ingest, clean, and preprocess large datasets.
- Deployment MLOps: Deploy models to cloud infrastructure and set up continuous monitoring for performance.
- System Integration: Write clean, production-grade code to integrate models into software applications.
- Optimization: Optimize model inference speed, memory footprint, and compute costs.
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📌 Ai Software Engineer - Sr Associate (Coimbatore)
🏢 KG Information Systems (KGISL)
📍 Coimbatore
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