p2c3sts"Strong 3+ years experiencec in AI/ML technology
Model Engineering: Designing, building, and training models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Data Pipeline Construction: Creating efficient data pipelines for ingestion, transformation, and storage.
Generative AI Development: Implementing LLMs (Large Language Models), prompt engineering, and RAG (Retrieval-Augmented Generation).
Performance Optimization: Tuning hyperparameters and improving algorithm efficiency.
Documentation: Documenting code, models, and processes for reproducibility
Develop, test, and deploy machine learning models and AI applications to production environments.
Clean, preprocess, and analyze large, complex datasets for model training.
Integrate AI/ML solutions into existing software systems and applications.
Monitor and update models to prevent performance degradation (""drift"")."
GenAI & Agents: LLMs , RAG, LangChain, LangGraph, LangSmith,
PyTorch, Scikit-learn, YOLO, EfficientNet, DINOv2Data
API , REST Assured
Confluence, Airtable
