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Senior Machine Learning Engineer (AI tools)

SmartRecruitersPolskaPolska

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano27 lipca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

SmartRecruiters is seeking a Senior Machine Learning Engineer to join our Chat Group and help build the next generation of intelligent conversational systems for the recruiting industry. You will play a central role in designing and developing agentic workflows, where autonomous AI agents collaborate, reason, and act to deliver context-aware recruiting experiences at scale.

Key responsibilities

  • Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems.
  • Lead the design and development of advanced ML/NLP products, from ideation to production, including model training, evaluation, optimization, and deployment.
  • Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design.
  • Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows.
  • Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems.

Requirements

  • BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field, or equivalent practical experience.
  • 5+ years of experience developing and deploying machine learning systems in production.
  • Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation.
  • Strong proficiency with deep learning frameworks like PyTorch or TensorFlow and advanced Python programming skills.
  • Hands-on experience with agentic workflows, autonomous AI systems, or conversational AI.

What we offer

  • Opportunity to work in a global, high-impact team shaping how people connect with jobs.
  • A culture that values autonomy, innovation, and measurable outcomes.
  • Collaboration with passionate peers across international locations.
  • Meaningful growth opportunities in an environment built on respect and empowerment.

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