Technical Specialist - ML, Python

Designing multi-agent workflows using frameworks like LangChain or LangGraph and architectural design patterns Designing data models Tracking model performance, managing inference costs, and handling latency tracking. Security & Compliance: Guarding privacy, stopping data leaks, and mitigating model hallucinations. Aligning technical AI choices with real business goals and financial budgets. Guiding engineering teams through design trade-offs and project execution

AI & Machine Learning: Mastery of deep learning frameworks like PyTorch or TensorFlow, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. Cloud & Infrastructure: Experience with cloud services AWS Saga Maker, Google Cloud AI, Microsoft Azure AI Docker, Kubernetes Data Management: Knowledge of data pipelines, ETL processes, vector databases, and data governance. Programming: Proficiency in core languages such as Python & Data Engineering Libraries and Java.