Generative AI Engineer – Production ML, Remote Options

Adidev Technologies Inc

San Francisco (CA)

Presencial

USD 130 000 - 190 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Competitive salary range
Paid relocation
Remote assistance
Regular salary reviews

Resumo da oferta

Adidev Technologies Inc. is seeking an adept Machine Learning Engineer to deploy advanced AI models with a focus on Generative AI. You will craft AI-driven solutions, turning innovative ideas into client-ready features and services to solidify market leadership.

In this role you will own end-to-end data modeling, deployment, monitoring, and collaboration with cross-functional teams to integrate Generative AI models into offerings. Relentless learning and ethical AI practices are expected.

Qualificações

  • Experience architecting and developing AI/ML solutions on cloud platforms.
  • Hands-on with Deep Learning, LLMs, Python, TensorFlow or PyTorch.
  • Experience deploying ML/AI into production and best practices.

Responsabilidades

  • Architect and refine ML models and algorithms from data to deployment.
  • Lead full data modeling lifecycle from requirements to monitoring.
  • Incorporate Generative AI into product offerings and features.
  • Collaborate across teams to integrate AI capabilities into services.
  • Analyze data, perform feature engineering, and optimize models.

Conhecimentos

AWS
Databricks
Azure
Google Cloud
OpenAI
Python
TensorFlow
PyTorch
LLM
Deep Learning

Ferramentas

AWS
Databricks
Azure
Google Cloud
OpenAI

Descrição da oferta de emprego

Adidev Technologies Inc. is seeking an adept Machine Learning Engineer to deploy advanced AI models with a focus on Generative AI. You will craft AI-driven solutions, turning innovative ideas into client-ready features and services to solidify market leadership.

In this role you will own end-to-end data modeling, deployment, monitoring, and collaboration with cross-functional teams to integrate Generative AI models into offerings. Relentless learning and ethical AI practices are expected.

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