{"id":2615641,"url":"https://alion.io/job/inpost-senior-ml-engineer-fintech-engineering-mfn","title":"Senior ML 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":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","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":65000,"max_usd":108000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":null,"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":"LIME","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"SHAP","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T11:56:46Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-24T09:56:00Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"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 We are hiring Senior ML Engineers who form the delivery core of the FinTech ML function.\nTrack A: Model Lifecycle. You own agentic model iteration (experiment, evaluate, retrain, promote). You also own agentic model monitoring and observability (drift, stability, performance), built on the feature store. You design the agent loop and graph and keep it reliable and cost-controlled.\nTrack B: Model Validation. You own agentic validation and backtesting. You build agent loops that replicate and stress-test models and produce evidence packs for independent review. You also own agentic model monitoring and observability for validation.\nYour role:\nBuild and ship credit-scoring and merchant-underwriting models end-to-end: feature engineering, training, validation, deployment and post-production monitoring.\nEngineer point-in-time-correct features against the shared feature store for BNPL and MCA decisioning. Partner with Data Engineering on source contracts and freshness SLAs.\nDesign and operate the agent loop and graph (context, tools, evals, guardrails) so agentic delivery is reliable, observable and cost-controlled.\nDeploy and operate models with MLOps tooling: versioning, CI/CD for models, and champion/challenger or shadow deployment.\nMonitor production models for drift, stability and performance degradation. Close the loop with retraining, recalibration or rollback when thresholds are breached.\nDesign models to be explainable and regulatory-defensible by construction. Document features, decisions and validation evidence to support CCD2 creditworthiness assessment and audit review.\nModel Validation track: build and run the validation and backtesting harness inside the MLOps pipeline. Produce audit-ready evidence packs for independent review.\nModel Lifecycle track: build the experiment, evaluate, retrain and promote loop on the model registry and serving layer.\nWhat you will work with\nThe feature store, model registry and serving, agent orchestration graphs, eval harnesses, model-monitoring and tracing tools, the validation and backtesting harness inside the MLOps pipeline, and audit-ready evidence outputs.\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 in applied ML at scale, covering the end-to-end lifecycle: feature engineering, training, validation, deployment and monitoring.\nSkilled in model validation methodology: backtesting, population stability (PSI), discrimination (Gini/KS), calibration.\nExperienced in MLOps and production monitoring: model versioning, CI/CD, champion/challenger and shadow deployment, drift detection and automated alerting.\nSkilled in point-in-time-correct feature engineering and feature-store consumption patterns.\nFamiliar with explainability techniques (SHAP/LIME) and documentation for regulatory defensibility.\nFluent in Python and SQL, with Spark/Databricks for large-scale model training and serving.\nExperienced with advanced agentic tooling and loop and graph engineering: context and tool design, guardrails, eval design with auditable outputs. You also have solid working knowledge of LLMs.\nA collaborator who follows shared patterns and raises the bar through influence.\nFluent in English (B2+).\nBonus points for:\nHands-on model validation or independent-review experience.\nCCD2 / consumer-credit regulatory requirements for creditworthiness assessment\nMerchant cash advance (MCA) underwriting and merchant-risk data\nFraud-detection modelling (e.g. bust-out, first-party fraud)\nIFRS 9 provisioning / expected-credit-loss modelling\nReal-time, low-latency model serving\n Why join InPost?\nGreenfield, high stakes.\nStrategic impact on how AI-native ML is done across InPost.\nA modern stack and a lean, AI-native team. You have space to experiment with new technologies, including AI tooling, 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":4761,"description_truncated":false,"requirements":{"experience_years_min":null,"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":"2026-10-15T12:10:13Z"}],"visa":[],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.877,"p_room":1,"age_days":8,"expected_fill_days":26,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/inpost-senior-ml-engineer-fintech-engineering-mfn","json_url":"https://alion.io/job/inpost-senior-ml-engineer-fintech-engineering-mfn.json","meta":{"generated_at":"2026-10-24T13:49:52Z","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":19927,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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-senior-ml-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-senior-ml-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-senior-ml-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-senior-ml-engineer-fintech-engineering-mfn\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finpost-senior-ml-engineer-fintech-engineering-mfn"}]}