Hybrid AI/ML Engineer: Production GenAI & LLMs

7Th Sky Techologies llc

Palo Alto (CA)

Híbrido

USD 150.000 - 210.000

Jornada completa

hace 21 horas
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Descripción de la vacante

7Th Sky Technologies LLC in Palo Alto seeks an experienced AI/ML Engineer to design, develop, deploy and maintain production-grade AI solutions. You will leverage Python, TensorFlow or PyTorch, NLP, Generative AI and LLMs across cloud environments, with a focus on scalable pipelines and MLOps.

You will collaborate with data scientists, software engineers and product teams to deliver production-ready AI capabilities, with a hybrid work model and 4+ years of experience preferred.

Formación

  • 4+ years of professional experience in AI/ML, data science or related engineering roles.
  • Strong problem-solving and analytical skills with ability to translate business needs into AI/ML solutions.
  • Experience with Python, ML frameworks, NLP, Generative AI and LLMs.
  • Hands-on with MLOps, CI/CD, Docker/Kubernetes and cloud deployment.

Responsabilidades

  • Design, develop, train, evaluate, and deploy machine learning models.
  • Build scalable AI/ML pipelines for data processing, model training, and inference.
  • Develop ML solutions using Python and ML frameworks; work with NLP/LLMs and RAG.
  • Deploy AI/ML models into production and maintain MLOps pipelines.
  • Collaborate with data engineers to prepare large datasets and expose models via APIs.
  • Monitor performance, latency, and reliability in production and optimize accordingly.

Conocimientos

Python
ML concepts
Deep Learning
NLP
Generative AI
LLMs
RAG
Prompt Engineering
Vector databases
REST APIs
Git/GitHub
SQL
Docker
CI/CD
MLOps
Cloud platforms
Model evaluation

Educación

Bachelor's or Master's in CS/AI/Data Science/Engineering

Herramientas

TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
Matplotlib

Descripción del empleo

7Th Sky Technologies LLC in Palo Alto seeks an experienced AI/ML Engineer to design, develop, deploy and maintain production-grade AI solutions. You will leverage Python, TensorFlow or PyTorch, NLP, Generative AI and LLMs across cloud environments, with a focus on scalable pipelines and MLOps.

You will collaborate with data scientists, software engineers and product teams to deliver production-ready AI capabilities, with a hybrid work model and 4+ years of experience preferred.

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