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Bloomreach

Senior AI/ML Engineer

Bloomreach · Slovakia

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
65 days
Bloomreach's roles stay open a median of 66 days
Reposted
No
Salary listed
No
12% of Bloomreach's roles list one
Ghost-job risk at Bloomreach
high
57 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
2026-10-08

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 developing and maintaining machine learning-powered features that serve a large customer base. Your role involves taking models from experimentation to production, ensuring they operate effectively at scale, and implementing monitoring and quality assurance processes. You will also collaborate with the Artificial Intelligence team to enhance the platform's capabilities and support the features you develop.

Our read on this posting3.0out of 5
benefits
5/5
freshness
1/5
career value
4/5
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
  • Real experience running ML in production
  • Solid software architecture fundamentals
  • Cloud platform depth (GCP, Databricks, AWS or Azure)
  • Working English, written and spoken

Nice to have

  • Depth in Kubernetes, CI/CD, and infrastructure-as-code
  • Experience with distributed data processing (Spark on Databricks, Dataproc)
  • Familiarity with 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
  • Professional education budget of $1,500 annually
  • Employee Assistance Program
  • Subscription to Calm app

Worth weighing

  • No specific salary figure provided, only a range
  • Role may require balancing between ML product engineering and platform/MLOps
  • The position is remote-friendly but requires collaboration with a Central European team

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

Listed by Bloomreach on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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