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 datapipelines, ETL processes, vector databases, and data governance.
Programming: Proficiency in core languages such as Python & Data Engineering Libraries and Java.
Job Description :
Designing multi-agent workflows using frameworks like Lang Chain or Lang Graph 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