Назад
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2 дня назад

AI/ML Engineer

Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

AI/ML Engineer (AI/ML): Designing, developing, and deploying advanced machine learning solutions that support mission-critical systems with an accent on building scalable models and developing training pipelines. Focus on delivering impactful AI-driven solutions and improving model performance and scalability.

Location: Dayton, OH and Remote

Company

hirify.global is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.

What you will do

  • Design, develop, and implement machine learning and deep learning models.
  • Build and optimize model architectures including CNNs, RNNs, and transformer-based models.
  • Develop and deploy Large Language Models (LLMs) and object detection systems.
  • Perform feature engineering and prepare high-quality datasets for training and evaluation.
  • Collaborate with data engineers and software teams to integrate models into production systems.
  • Evaluate and improve model performance and scalability.

Requirements

  • Strong proficiency in designing and implementing model architectures, including CNNs, RNNs, transformer-based architectures, Large Language Models (LLMs), and Object Detection models.
  • Hands-on experience with PyTorch and/or TensorFlow, Hugging Face, Ollama, or similar frameworks.
  • Experience with data engineering concepts, including feature engineering and dataset preparation, data versioning tools, and metadata standards.
  • Ability to create clear and effective AI/ML training runbooks.
  • Clearance requirements: TS/SCI
  • Strong problem-solving skills and ability to work in a collaborative environment.

Nice to have

  • Experience deploying models in cloud-native environments.
  • Familiarity with DevSecOps practices.
  • Experience working with large-scale or federal datasets.
  • Understanding of MLOps principles and pipelines.

Culture & Benefits

  • Weekly pay with full remote flexibility.
  • Professional growth investment, including paid certifications and training.
  • Comprehensive benefits package, including medical, dental, and vision coverage.
  • 401(k) with 100% company match up to 6%.
  • Paid time off (PTO), life and disability insurance, and home office equipment plan.
  • A supportive, inclusive team culture focused on collaboration, trust, and mission impact.

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