Found Description
Responsibilities
- Design, develop, and deploy end-to-end machine learning, deep learning, and Generative AI solutions to solve complex business challenges and improve operational performance.
- Perform advanced data analysis, feature engineering, statistical modelling, predictive analytics, and optimization techniques to generate actionable business insights.
- Build, train, evaluate, and fine-tune machine learning and deep learning models, including transformer architectures, reinforcement learning models, neural networks, and large language models (LLMs).
- Develop and implement GenAI applications using modern AI engineering frameworks such as LangChain, LangGraph, vector databases, embeddings, Retrieval-Augmented Generation (RAG), and enterprise-grade AI pipelines.
- Design and manage scalable MLOps pipelines for model versioning, automated training, deployment, monitoring, governance, and lifecycle management on cloud platforms such a...