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Bloomreach

Senior AI/ML Engineer

Bloomreach · Czechia

Posted about 2 months ago

or apply directly on Bloomreach's site. We never take the application ourselves.

Is this posting real?

This role has been open
54 days
Bloomreach's roles stay open a median of 55 days
Reposted
No
Salary listed
No
12% of Bloomreach's roles list one
Ghost-job risk at Bloomreach
high
54 stale, 4 reposted of 78 open
Hiring momentum
105 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from Bloomreach's own greenhouse board since 2026-08-03. Full hiring picture for Bloomreach.

About this role

As a Senior AI/ML Engineer at Bloomreach, you will be responsible for taking machine learning models from experimentation to production, ensuring they operate effectively for a large customer base. Your role involves end-to-end ownership of ML-powered features, including API development, training pipelines, and monitoring for performance drift. You will work with terabytes of behavioral data and collaborate closely with the Artificial Intelligence team to enhance the personalization platform Loomi.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Bloomreach as an employer.

What you need

  • 5+ years of Python engineering experience
  • Experience running ML in production including serving, retraining, and monitoring
  • Solid software architecture fundamentals including scalable APIs and microservices
  • Cloud platform experience, specifically GCP and Databricks, or AWS/Azure
  • Working proficiency in English, both written and spoken

Nice to have

  • Experience with Kubernetes, CI/CD, and infrastructure-as-code
  • Familiarity with distributed data processing tools like Spark on Databricks
  • Knowledge of feature stores, model registries, or experiment tracking tools
  • Experience in evaluation and experiment design
  • Daily use of agentic coding tools

What you get

  • Flexible working hours
  • Virtual-first work environment with global hubs
  • 5 paid days off for volunteering
  • $1,500 annual professional education budget
  • Employee Assistance Program for non-work-related challenges
  • Subscription to Calm app for sleep and meditation

Worth weighing

  • No specific salary figure provided, only a range
  • Role may require balancing between ML product engineering and platform/MLOps
  • Focus on production-grade ML systems may not appeal to those more interested in pure data science

Summarised from Bloomreach's posting. Read the full original.

Listed by Bloomreach on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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