Description

Strong 3+ years experiencec in AI/ML technologyModel 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 reproducibilityDevelop, 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, DINOv2DataAPI , REST AssuredConfluence, Airtable

Key Skills

Education

Any Gradute