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Senior Python AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Malaysia
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
Senior Python AI Engineer (AI/ML): Developing and industrializing scalable AI applications, APIs, and MLOps pipelines with an accent on LLMs, generative AI tools, cloud platforms, and production deployment. Focus on designing RAG and agent solutions, validating AI-generated code, and optimizing systems for scalability, latency, testing, and cost efficiency.

Location: Petaling Jaya, Malaysia; in-person collaboration is prioritized.

Company

hirify.global delivers enterprise technology, software, managed infrastructure, application modernization, and industry-specific solutions to global enterprises and public sector organizations.

What you will do

  • Develop, integrate, optimize, and industrialize AI/ML solutions for business use cases.
  • Translate requirements into scalable AI applications, including APIs and microservices.
  • Collaborate with Data Scientists, architects, and business and IT teams in an agile environment.
  • Build and maintain MLOps pipelines for training, versioning, and monitoring, and support production deployment.
  • Use generative AI coding tools, structure prompts, validate generated code, and contribute reusable documentation and prompts.
  • Improve testing, code quality, scalability, latency, and cost efficiency while sharing AI best practices.

Requirements

  • 5+ years of Python development experience with an AI/ML focus.
  • Strong experience with ML/DL frameworks including TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain.
  • Hands-on LLM experience with fine-tuning, prompt engineering, RAG, and agents.
  • Experience using Copilot, ChatGPT, Claude, or Cursor for development.
  • Strong knowledge of AWS, Azure, or GCP, plus MLOps and CI/CD pipelines for AI solutions.
  • Understanding of data engineering, including data pipelines, preprocessing, and feature engineering.
  • Experience with SQL, NoSQL, and vector databases; API development with FastAPI, Flask, or REST.
  • Familiarity with Docker, Kubernetes, Git, GitHub or GitLab, and testing tools such as pytest, unittest, and coverage tools.
  • English is mandatory; the role operates in an English-speaking environment.

Nice to have

  • Computer Vision and/or NLP experience.
  • Strong problem-solving, analytical, collaboration, communication, ownership, and mentoring skills.
  • Ability to structure problems and write effective AI prompts, while critically evaluating AI-generated code.
  • Pragmatic, agile, adaptable, self-driven approach focused on balancing speed and quality.

Culture & Benefits

  • Agile, fast-paced innovation environment with cross-functional collaboration across data, engineering, and business teams.
  • Strong focus on AI-driven development and rapid delivery.
  • Work model prioritizes in-person collaboration while offering flexibility for wellbeing, productivity, individual work styles, and life circumstances.
  • Inclusive environment focused on strong connections and community.

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