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YO IT Consulting

AI Engineer

YO IT Consulting

Remote · Tempo pieno

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Esperienza
Qualsiasi
Stipendio
Aperture
1
Pubblicato
5 ore fa
Modalità di lavoro
Lavoro da casa
Riprendere
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Descrizione del lavoro

Job Overview

This contract position offers an opportunity to work remotely as an AI Engineer where you will contribute to training cutting-edge AI systems. The focus is on applying your domain expertise to enhance how AI models learn and perform, without needing prior AI experience.

Key Duties

  • Create and optimize machine learning models suitable for production use.
  • Develop and automate complete machine learning pipelines integrating continuous integration and deployment best practices.
  • Utilize Amazon Web Services (AWS) to build scalable AI infrastructures and manage model deployments.
  • Manage containerized workloads through Kubernetes to maintain reliability and scalability.
  • Work closely with data scientists, engineers, and researchers to convert complex business needs into practical ML solutions.
  • Preprocess and frame real-world data challenges to maximize machine learning effectiveness.
  • Clearly document and present methodologies, technical decisions, and outcomes.

Required Qualifications and Skills

  • Demonstrated expertise in machine learning algorithm development, model building, and deployment processes.
  • Proficient in programming with Python or Java, including experience with significant software engineering projects.
  • Experience with CI/CD pipelines and automation frameworks.
  • Hands-on knowledge of AWS services tailored for machine learning and data workflows.
  • Advanced skills with Kubernetes for orchestrating containerized ML workloads.
  • Excellent communication abilities, especially in producing precise technical documentation and effective team collaboration.
  • Capability to analyze and resolve complex data problems in practical contexts.

Preferred Qualifications

  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
  • Background in fast-paced or startup environments.
  • Contributions to AI-related publications or open-source projects.

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