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1 день назад

Senior ML Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior ML Engineer (AI): Design, develop, and deploy scalable AI solutions including Agentic systems and LLM-powered applications with an accent on evaluations, metrics, and MLOps practices. Focus on fine-tuning models, implementing reproducible pipelines, and collaborating with engineering and product teams to align AI with business needs.

Location: Hybrid work model with office in Lausanne, Switzerland. Relocation package available for candidates from other countries.

Company

Leader in digital employee experience management software, providing IT leaders with insights to diagnose and fix issues proactively for millions of employees worldwide. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, with 9 offices globally.

What you will do

  • Lead AI development by designing and implementing AI-powered products focused on Agentic systems.
  • Create evaluations and define success metrics using cutting-edge AI platforms for LLMs.
  • Implement MLOps practices for deployment, monitoring, and maintenance of models in production.
  • Collaborate with software engineers, data scientists, and product teams to align AI with business needs.
  • Mentor and coach junior AI engineers, fostering learning and knowledge sharing.

Requirements

  • BSc/Master’s in Computer Science, Machine Learning, Data Science, or related field.
  • 5+ years hands-on experience in LLM-powered production applications.
  • Strong proficiency in Python and AI frameworks (e.g., LangChain, PyTorch).
  • Proven experience with AWS and cloud-based AI deployments.
  • Solid understanding of AI model fine-tuning, optimization, and evaluation.
  • Strong communication skills in English to explain complex AI concepts.
  • Knowledge of reinforcement learning, RAG, multi-agent architectures, and MLOps best practices.

Nice to have

  • Strong data intuition for inspecting logs and identifying quality regressions.

Culture & Benefits

  • Permanent contract with competitive compensation.
  • Hybrid model with beautiful office near Lake Geneva and Prilly-Malley station.
  • Flexible hours, unlimited vacation plus 25 holidays, and 3 volunteer days.
  • Free fitness centre, public transport reimbursement, French classes, fresh fruit, and drinks.
  • Regular team events, pizza talks, meetups, and referral bonuses.

Hiring process

  • Apply even if not meeting every requirement; expertise and passion valued.
  • Check with Recruitment Partner for up-to-date benefits info.

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