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3 дня назад

Senior AI/ML Engineer

Формат работы
remote (только Poland)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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 AI/ML Engineer (Python/Azure/Databricks): Designing, deploying, and maintaining scalable AI/ML systems and pipelines for sustainability business applications with an accent on MLOps, LLMOps, AgentOps, and production-grade model integration. Focus on orchestrating batch and real-time workflows, running large-scale experiments, and making models accessible to end-users and downstream processes.

Location: Hybrid in Warsaw, Poland, with 2 days per week in the office, or fully remote from Poland. Candidates must be eligible to work and live in Poland.

Company

hirify.global provides business sustainability ratings, data analysis, and technology-backed sustainability scorecards that help companies identify environmental, social, and ethical risks.

What you will do

  • Use data and AI/ML to solve business problems across multiple business units.
  • Design, develop, deploy, and maintain scalable AI/ML systems and production-grade pipelines.
  • Build AI/ML engineering infrastructure for orchestrating batch and real-time workflows.
  • Apply MLOps, LLMOps, and AgentOps practices, including experimentation, evaluation, and monitoring.
  • Collaborate with scientists, engineers, and product managers to integrate models into business applications and downstream processes.

Requirements

  • Degree in Computer Science, Mathematics, Engineering, or a related technical discipline.
  • Industry experience designing and implementing production-grade AI/ML systems and integrating models into business applications.
  • Strong Python programming skills and experience with ML libraries and the AI/ML lifecycle.
  • Experience with MLOps, LLMOps, or AgentOps tooling such as MLflow, LangChain, vector databases, and evaluation frameworks.
  • Experience with Azure, Azure ML, Azure Foundry, Databricks, Docker, container orchestration, databases, and REST APIs for model serving.
  • Strong software engineering practices across development, testing, deployment, operations, and cross-functional collaboration.

Nice to have

  • Contributions to open-source libraries.

Culture & Benefits

  • Flexible working hours and hybrid work organization.
  • Remote work from abroad policy, with internet and electricity bill allowance.
  • Office and IT equipment support.
  • Wellness allowance, professional mental health support, and optional health and life insurance.
  • Learning and development opportunities, sustainability events, community involvement, and employee-led resource groups.
  • Multisport card, Multikafeteria, lunch card, referral bonus, and peer recognition programs.

Hiring process

  • Submit a CV in English and receive a response to the application.
  • Reasonable adjustments are available throughout the hiring process.

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