InPost

Head of ML & MLOps Engineering - Fintech Engineering

Warszawa, pl Contract On-site
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Job Description

The mission Build a state-of-the-art ML platform and the discipline around it. Models with a price tag. Every model has a business case and a measurable monetary outcome. Credit and decisioning models built with rigorous validation, champion/challenger testing and explainability. A production ML platform. Serving, monitoring, reproducibility and retraining are engineered, not improvised. Responsible AI, built in. Model risk, bias and explainability checks, with an independent sign-off gate before anything reaches production. Agent-first systems. Agents are production components with orchestration, guardrails, evals and observability. ◆ Models on governed data. You build on a point-in-time-correct feature store, not around it. This is a business function. Every model carries monetary value, and you will run the function that way: compute budget, headcount and return on investment.

Frequently Asked Questions

What does the Head of ML & MLOps Engineering - Fintech Engineering role at InPost involve?

The Head of ML & MLOps Engineering - Fintech Engineering position at InPost in Warszawa, pl is a contract role. The mission Build a state-of-the-art ML platform and the discipline around it. Models with a price tag. Every model has a business case and a measurable monetary outcome. Credit and decisioning models built with rigorous validation, champion/challenger testing and explainability. A production ML platform. Serving, monitoring, reproducibility and retraining are engineered, not improvised. Responsible AI, built in. Model risk, bias and explainability checks, with an independent sign-off gate before anything reaches production. Agent-first systems. Agents are production components with orchestration, guardrails, evals and observability. ◆ Models on governed data. You build on a point-in-time-correct feature store, not around it. This is a business function.

What skills are required for Head of ML & MLOps Engineering - Fintech Engineering at InPost?

Key skills for this role include: Rails, Mlops.

What is the salary for Head of ML & MLOps Engineering - Fintech Engineering at InPost?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Head of ML & MLOps Engineering - Fintech Engineering position at InPost remote or on-site?

This position is On-site. The role is based in Warszawa, pl.

How do I apply for Head of ML & MLOps Engineering - Fintech Engineering at InPost?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Head of ML & MLOps Engineering - Fintech Engineering at InPost is a contract ai & machine learning position in Warszawa, pl. Key skills include Rails, Mlops. Education: Master's Degree preferred.

This role is classified as on-site and is suitable for manager-level professionals. Ghost Score 5/100 (Fresh) indicates this listing is very likely active and recently refreshed.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.