Senior AI/ML Solutions Architect - Onsite Irvine

VDart Inc

Irvine (CA)

Hybrid

USD 150.000 - 210.000

Vollzeit

14 Tage+

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Zusammenfassung

VDart Inc. is seeking an experienced AIML Engineer to drive design, development, deployment and scaling of AI/ML solutions across enterprise applications in Irvine, CA. The role emphasizes ML, DL, NLP, Generative AI, MLOps, and cloud-based AI platforms.

You will lead technical teams, mentor junior members, and collaborate with stakeholders to deliver AI-driven business outcomes while ensuring governance and security compliance. This hybrid role requires about three days on-site per week.

Qualifikationen

  • Experience designing and deploying AIML/ML solutions across enterprise apps.
  • Hands-on with ML/DL, NLP, CV and predictive analytics.
  • Strong in MLOps, model governance and AI governance.

Aufgaben

  • End-to-end AIML solution development from problem definition to production deployment.
  • Design, develop and optimize ML/DL and Generative AI models.
  • Build scalable AI applications using LLMs, RAG, vector databases, and agent frameworks.
  • Collaborate with stakeholders to translate requirements into AI solutions.
  • Drive AI architecture decisions, model selection and feature engineering.
  • Establish MLOps practices for deployment, monitoring and retraining.

Kenntnisse

ML algorithms
Deep Learning
NLP
Vector Databases
Prompt Engineering
RAG
AI Architecture
Leadership
Model Evaluation

Tools

TensorFlow
PyTorch
Keras
OpenAI
Azure OpenAI
LangChain
Pinecone
Docker
Kubernetes

Jobbeschreibung

VDart Inc. is seeking an experienced AIML Engineer to drive design, development, deployment and scaling of AI/ML solutions across enterprise applications in Irvine, CA. The role emphasizes ML, DL, NLP, Generative AI, MLOps, and cloud-based AI platforms.

You will lead technical teams, mentor junior members, and collaborate with stakeholders to deliver AI-driven business outcomes while ensuring governance and security compliance. This hybrid role requires about three days on-site per week.

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