Technical Specialist - ML, Python
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Role details
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Job description
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
Requirements
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.
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