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2 мСсяца Π½Π°Π·Π°Π΄

Senior MLOps Engineer (GCP)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
c1
Π‘Ρ‚Ρ€Π°Π½Π°
France
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

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TL;DR
Senior MLOps Engineer (GCP/LLMOps): Building and operating production-ready ML and AI infrastructure on Google Cloud Platform with an accent on ML pipelines, model deployment, monitoring, and reproducibility. Focus on bringing research models into production, designing scalable GenAI and LLM solutions, and advising teams on AI architecture and best practices.

Location: Paris, France; hybrid workplace

Company

Alice & Bob is developing a universal, fault-tolerant quantum computer based on superconducting SchrΓΆdinger cat qubits.

What you will do

  • Build and maintain MLOps and LLMOps infrastructure on Google Cloud Platform, including ML pipelines, model deployment, and monitoring.
  • Help researchers and data scientists bring experimental models into production.
  • Design reliable, scalable solutions for traditional ML and GenAI/LLM use cases.
  • Ensure models and experiments are reproducible, observable, and maintainable.
  • Advise teams on ML/AI architecture, tooling, and best practices.
  • Collaborate with Data Engineering and DevOps on data, infrastructure, CI/CD, and the evolution of the ML/AI platform.

Requirements

  • 7+ years of experience in ML Engineering, MLOps, Software Engineering, or a related field.
  • Strong Python skills and experience running ML systems in production.
  • Solid MLOps experience, including pipelines, deployment, and monitoring.
  • Experience with Docker and Kubernetes/GKE.
  • Familiarity with PyTorch, TensorFlow, or scikit-learn, plus experience with LLMs/GenAI.
  • Fluent English required; strong analytical and communication skills for working with technical and research teams.

Nice to have

  • Experience with GCP and Vertex AI.

Culture & Benefits

  • Flexible remote policy of up to 40% per month.
  • BSPCE plan and bonuses for contributions to core quantum architecture patents.
  • 25 days of vacation under French law, plus RTT and parental benefits.
  • Health coverage, mental health support, meal vouchers, and transportation cost coverage.
  • French language courses, subsidized sports membership, and access to a stocked kitchen.

Hiring process

  • Screening call, hiring manager interview, technical onsite interview, leadership interview, and fit interview.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’