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1 день назад

Senior Staff Engineer, Machine Learning (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Staff Engineer, Machine Learning (AI): Delivering impactful solutions in NLP, machine vision, and AI with an accent on AI/ML architecture design and implementation in data / big data using cloud infrastructure. Focus on designing and building prompts for prompt development and templates, also developing AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration.

Company

hirify.global is a Digital Product Engineering company that builds products, services, and experiences.

What you will do

  • Convert client’s business use cases and technical requirements into technical design.
  • Define guidelines and benchmarks for NFR considerations during project implementation.
  • Review architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc.
  • Develop and design the overall solution for defined functional and non-functional requirements.
  • Understand and relate technology integration scenarios and applying these learnings in projects.
  • Resolve issues that are raised during code/review, through exhaustive systematic analysis of the root cause.

Requirements

  • Total experience: 10+ Years.
  • Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
  • Must have experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure.
  • Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
  • Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn.
  • Should have designed, developed, and deployed a few AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration.
  • Strong understanding of LLMs and foundation models with an expertise in designing and building prompts for prompt development and templates.
  • Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems.
  • Excellent problem-solving skills, with a creative and analytical mindset.
  • Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels.
  • Experience with AI ethics and responsible AI practices

Qualifications

  • Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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