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
Numbers & Facts
Location
Hoboken, NJ
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Amazon Web Services (AWS)unmatched
Architectural Designunmatched
Artificial Intelligence (AI)unmatched
Budgetingunmatched
Cloud Computingunmatched
Computer Securityunmatched
Cost Controlunmatched
Data Managementunmatched
Data Modelingunmatched
Database Extract Transform and Load (ETL)unmatched