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1 день назад

Lead AI Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
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

Lead AI Engineer (AI): Leading the design, development, and deployment of advanced AI and GenAI systems to solve complex business challenges with an accent on integrating AI and data-driven modules into larger software solutions. Focus on conducting comprehensive data analysis and model validation to ensure robustness, reliability, and scalability of AI/ML solutions.

Location: Remote (Global)

Company

hirify.global was founded 19 years ago to create a dream workplace, now delivering software solutions and products for top enterprises globally, with a focus on a partnership-based employer-employee relationship and continuous investment in employees.

What you will do

  • Drive the design, development, and deployment of advanced AI and GenAI systems.
  • Partner with cross-functional teams to translate business requirements into technical solutions and actionable insights.
  • Lead teams of AI/ML engineers, data engineers, and MLOps professionals.
  • Integrate AI and data-driven modules into larger software solutions, ensuring seamless functionality and performance.
  • Mentor and guide junior data scientists and engineers, promoting best practices.
  • Conduct comprehensive data analysis and model validation to ensure robustness, reliability, and scalability of AI/ML solutions.

Requirements

  • Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 7-8 years experience in data science, machine learning, AI engineering, or software development, with a track record of deploying models in production environments.
  • In-depth knowledge of transformer-based models (e.g., BERT) and experience with LLMs (commercial like Anthropic, OpenAI; non-commercial like Llama).
  • Proficiency in Python, including frameworks and packages like TensorFlow, PyTorch, LangChain, and LlamaIndex.
  • Familiarity with AWS cloud computing platforms and hands-on experience deploying models using Docker and Kubernetes.
  • Strong leadership capabilities, excellent communication skills, and exceptional problem-solving abilities.

Culture & Benefits

  • Warm and supportive work environment with flexible working hours.
  • Unlimited home office to help you stay productive and focused.
  • Opportunities for professional development, including certifications and training.
  • Knowledge-sharing sessions, team and company-wide events, and summer/winter office initiatives.
  • Additional health insurance, dental allowance, and Multisport card.
  • Office massages to encourage a healthy and active lifestyle.

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