{"id":2629254,"url":"https://alion.io/job/inpost-staff-ml-platform-engineer-fintech-engineering-mfn","title":"Staff ML Platform Engineer - Fintech Engineering (m/f/n)","company":{"id":3343,"name":"InPost","domain":"inpost.eu","url":"https://alion.io/company/inpost","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":133000,"period":"year","method":"role_seniority_country_cell","sample_n":16},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Feature Store","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"Spark","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-15T13:07:09Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-19T13:43:44Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"InPost Pay is building its own fintech platform from the ground up. It’s a large-scale, international initiative where engineers will have the opportunity to shape the architecture, build core fintech components, and create solutions designed to operate at InPost’s scale.\nWe’re building a lean, highly effective engineering organization in Poland, with AI-native engineering at its core. We’re looking for strong engineers who are comfortable with agentic engineering, from experienced professionals building complex systems and engineering tooling to a new generation of engineers who have embraced AI-driven development from the start of their careers.\n The mission\nSet the ML architecture and modelling standards that credit decisioning will depend on.\nStandards others copy. You set the modelling, validation, monitoring and responsible-AI / model-risk practices for credit-scoring and MCA merchant-underwriting models across the platform.\nLifecycle governance. You own the end-to-end model lifecycle, from feature selection and training methodology through validation, champion/challenger testing, deployment and post-production monitoring for drift and stability.\nBuilt on the feature store. You partner with Data Engineering to define point-in-time-correct, production-grade features. You shape the feature-store roadmap around modelling needs.\nRegulatory defensibility by construction. You establish documentation, model cards and adverse-action reasoning standards.\n Agent-first delivery. You own the architecture of agentic harnesses and loop/graph agent workflows bound to the feature store: agentic model iteration (experiment, evaluate, retrain, promote) and agentic model monitoring and observability. You design the agent loops and graphs (context, tools, state, evals, guardrails) so they are reliable, observable and cost-controlled. You codify them as the reference patterns the function reuses.\nRaise the bar. You anchor the ML engineering team: you set technical direction, review designs and code, and mentor Senior and Mid ML Engineers.\nWhat you will work with\nThe feature store, model registry and serving, MLflow and Databricks, agent orchestration graphs, eval harnesses, and model-monitoring and tracing tools. You will also work with Credit Risk and the engineering teams that integrate models into decisioning services.\n You are:\nSomeone who loves building ML systems that hold up in production and under audit.\nHands-on first. You design and you build, with AI as a daily tool.\nExperienced, with 7+ years in machine learning engineering in production systems, and 3+ years in credit-scoring, risk modelling or decisioning ML on Spark/Databricks or an equivalent lakehouse.\nExpert in Python and ML frameworks (scikit-learn, XGBoost, PyTorch) (7+ years).\nStrong in credit-risk and underwriting model design: scorecards, gradient boosting, survival/behavioural models.\nSkilled in model validation methodology: back-testing, champion/challenger, population stability (PSI), calibration.\nExperienced in point-in-time-correct feature engineering, feature-store consumption patterns and MLOps tooling (MLflow, CI/CD for models).\nFluent in explainability and responsible-AI techniques for regulated decisioning (SHAP, model cards, adverse-action reasoning), with working knowledge of regulatory model-risk frameworks.\nExperienced with agentic coding tools and loop and graph engineering (3+ years): agentic harnesses, context and tool design, evals, guardrails, iteration. You have deep knowledge of LLM behaviour and trade-offs.\nA Staff-level engineer who sets standards through influence, not authority, and mentors through code and design review.\nFluent in English (B2+).\nBonus points for:\nFinTech, lending or payments ML\nModel-risk management or regulatory model validation\nMLOps or feature-store platform ownership\nFraud-detection modelling (bust-out, first-party fraud)\nReal-time, low-latency model serving\nBoard- or regulator-facing model documentation and audit experience\nCausal inference / uplift modelling for credit-policy experimentation\n Why InPost?\nArchitectural authority from day one. You set the standard.\nGreenfield, high stakes. Your design decisions last for years.\nA modern stack and a lean, AI-native team, with space to experiment with new technologies and bring them into production.\nA collaborative, fast-moving environment where autonomy and accountability go hand in hand.\nHybrid, ideally one day a week in the Warsaw or Kraków office.\nWe offer a B2B Contract.","description_format":"text","description_chars":4510,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Delivery","Logistics","Courier Services"],"lifecycle":[{"event":"open","at":"2026-10-15T15:42:35Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":26,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/inpost-staff-ml-platform-engineer-fintech-engineering-mfn","json_url":"https://alion.io/job/inpost-staff-ml-platform-engineer-fintech-engineering-mfn.json","meta":{"generated_at":"2026-10-19T16:25:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12417,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3343},"rest":"https://alion.io/mcp/rest/get_company?id=3343"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finpost-staff-ml-platform-engineer-fintech-engineering-mfn"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Finpost-staff-ml-platform-engineer-fintech-engineering-mfn"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Finpost-staff-ml-platform-engineer-fintech-engineering-mfn"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/inpost-staff-ml-platform-engineer-fintech-engineering-mfn\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finpost-staff-ml-platform-engineer-fintech-engineering-mfn"}]}