GenAI Architect Onsite

Overview

On Site
$140,000 - $180,000
Full Time

Skills

PyTorch
Python
Privacy
TensorFlow
Threat Modeling
Vector Databases
Machine Learning (ML)
Kubernetes
Generative Artificial Intelligence (AI)
LlamaIndex
LangFlow
Apache Spark
Artificial Intelligence
Continuous Delivery
Continuous Integration

Job Details

Role: GenAI Architect Onsite in Jacksonville, FL - Full-time

Job description: 355224/HE

Must Have Technical/Functional Skills

Mandatory Skills:

10 to 15+ years of experience is required.

  • GenAI Application Development Expertise
  • Programming Languages: Python
  • Development Tools: LangChain, LlamaIndex, LangFlow, Flowise
  • Techniques: RAG Techniques
  • Databases: Vector Databases (Pinecone, Weaviate, Qdrant)
  • Additional Technologies: Knowledge Graphs, FastAPI, Streamlit, Gradio
  • Domain Model Fine-Tuning Capabilities
  • Languages & Libraries: Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J)
  • Tokenization & Frameworks: Tokenizers (SentencePiece, Hugging Face Tokenizers), Fine-tuning Frameworks (Hugging Face Transformers, PyTorch Lightning)
  • Datasets: HuggingFace Datasets, TensorFlow Datasets
  • LLMOps Proficiency
  • Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions
  • Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana
  • Data Engineering for AI Applications
  • Data Processing & Management: Python, Apache Spark, Apache Kafka, AWS S3, Azure Data Lake Storage (ADLS), Delta Lake
  • Workflow Automation: Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great Expectations
  • Data Catalogs: Amundsen, Collibra, Alation
  • AI-Ready Cybersecurity Knowledge
  • Threat Modeling & Security: AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security Tools
  • Monitoring & Prevention: AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries
  • GenAI Guardrails and Ethics
  • Ethics & Fairness: AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics Libraries
  • Privacy & Security: Privacy-Preserving Machine Learning Libraries, Robustness and Security Tools
  • Transparency & Governance: Model Interpretability Libraries, AI Governance Frameworks and Tools

Roles & Responsibilities

  • POC , POT , POV
  • Presales
  • Competency development
  • Team management
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