Назад
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11 дней назад

AI and ML Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Ukraine/Poland +5 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
AI and ML Engineer (AI/ML): Designing, optimizing, and deploying machine learning models and scalable pipelines for next-generation AI applications with an accent on model performance, production reliability, and MLOps. Focus on building training and inference pipelines, integrating large datasets, deploying low-latency models, and mentoring junior engineers.

Location: Bulgaria, Cyprus, Georgia, Latvia, Poland, Romania, Serbia, or Ukraine

Company

hirify.global is presented as an organization developing impactful projects that power next-generation AI applications.

What you will do

  • Design, implement, optimize, and tune machine learning and artificial intelligence models.
  • Develop scalable pipelines for model training, validation, inference, and real-time data integration.
  • Deploy models to cloud or on-premises production environments with high reliability, low latency, and scalability.
  • Apply MLOps practices, including CI/CD, monitoring, automated retraining, and model registry management.
  • Partner with data engineering, data science, software engineering, and product teams to align solutions with business goals.
  • Provide technical guidance, participate in code reviews, and contribute to architecture and team best practices.

Requirements

  • 5+ years of professional experience in machine learning, AI engineering, or a related field.
  • Master’s degree in Computer Science, Machine Learning, Physics, or a related field; a PhD is preferred.
  • Proficiency in Python and machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn.
  • Strong knowledge of algorithms, statistics, probability, linear algebra, and software engineering fundamentals.
  • Hands-on experience with data pipelines, ETL tools, cloud platforms—preferably AWS—and production-scale model deployment.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI, plus strong analytical and communication skills.

Nice to have

  • Experience with agentic frameworks such as LangChain or LangGraph.

Culture & Benefits

  • Work in a dynamic, fast-paced environment focused on cutting-edge AI technologies.
  • Collaborate with cross-functional teams on impactful next-generation AI applications.
  • Opportunity to contribute to state-of-the-art research and establish engineering best practices.

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