Head of ML & MLOps Engineering - Fintech Engineering
Primary stack
Nice to have's
Job description
About the Position
Head of ML & MLOps Engineering - Fintech Engineering
- Contract
About the Company
Build ML that makes money and stands up to a regulator.
We are building a scale-up inside InPost, and AI will flow through it. You would join the core Data & AI leadership team and build the ML and MLOps function from zero, with the InPost executive team backing it. Our word is extreme ownership: you own a model from first idea to its profit and loss impact.
Responsibilities
- 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, evaluations, and observability.
- Models on governed data. You build on a point-in-time-correct feature store, not around it.
Requirements
- A leader who loves data and loves building systems around it.
- Hands-on when needed, especially with AI on board. You understand the model, the pipeline, and the serving layer.
- Experienced across the full ML lifecycle: development, validation, deployment, monitoring, and retraining.
- Experienced in credit-scoring or underwriting modeling, or comparable high-stakes ML.
- Skilled in model-risk management and responsible-AI governance.
- Experienced in building and leading a team from zero.
- Fluent in English (B2+). [add years of experience: suggest 7+ years in ML, 3+ leading]
Nice to Have
- CCD2 and consumer-credit regulation
- DORA/ICT risk
- IFRS 9 implications for model outputs
- Fraud-detection ML
- Databricks/Spark
We Offer
- Seat at the table on a core leadership team.
- Build it right the first time. No legacy ML estate.
- Models that matter. Your work decides real money, not a dashboard.
- Real pace. A lean, AI-native organization.
Job Location
No specific location mentioned.
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Logistics
About the Company InPost is a leader in offering modern logistics services and the first company in Poland to create Paczkomatów (parcel lockers). Through innovative technology, they have enabled the receipt of packages in a more convenient, cheaper, and environmentally friendly way. Products, Services & Tech Stack Core Solutions: Parcel lockers (Paczkomatów) Project Scope & Target Clients Client Base: Not specified Engineering Scale: Not specified