{"id":2329812,"url":"https://alion.io/job/ing-group-machine-learning-devops-engineer","title":"Machine Learning DevOps Engineer","company":{"id":3744,"name":"ING Group","domain":"ing.com","url":"https://alion.io/company/ing","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":107,"ghost_share":0,"stale_share":0.738,"repost_share":0.009,"time_to_fill_p50_days":17,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland","Katowice, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":13000,"max":28000,"currency":"PLN","period":"month","gross":null,"usd_annual":85968},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-12T08:38:06Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-12T20:22:14Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"ING Hubs Poland is hiring!\nThe expected salary for:\nexpert position: 13 000 - 28 000 PLN\nThe financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.\nWe are a dynamic and rapidly growing tech company, seeking a talented Machine Learning DevOps Engineer to join our team. The successful candidate will be responsible for developing platform and implementing fraud detection models within the banking sector. \nWe are looking for you if:\nYou have experience with cloud platforms: GCP, Azure (DevOps). \nYou have experience with GitHub, Airflow/Cloud Composer, Spark/DataProc, Terraform, containerization. \nYou are proficient in data & software engineering with a special focus on distributed computing (Spark 3.5+). \nYou are familiar with 'Clean Coding' paradigms and have programming experience in Python. \nYou understand ML Ops and have been involved in ML model deployment. \nYou are familiar with model development frameworks (Scikit-learn, Pandas, NumPy). \nYou possess excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively. \nYou have excellent communication and teamwork skills. \nYou'll get extra points for:\nHands-on experience with code/compute optimization and tuning testing. \nProven capability in handling large data sets for developing fraud detection models. \nMaster's degree in computer science, statistics, data science or a related field. \nExperience with other machine learning frameworks and libraries. \nCertifications in relevant fields. \nExperience in the banking sector, particularly with fraud detection systems.\nYour responsibilities:\nCode/compute optimizations & (unit) testing. \nScheduling & distributing code on our data analytics platform. \nWorking with shared model development codebase. \nAssist in model development/deployment. \nCollaboration with data scientists in squad. \nMaintenance. \nEnglish level: B2\nInformation about the squad:\nAre you interested in becoming an integral part of a pioneering team that cooperates in designing, building, and implementing models in the realm of banking fraud detection? We employ a wide range of technologies. Our team enjoys the flexibility to experiment with cutting-edge technologies and techniques in the field of machine learning.\nOur clientele includes various divisions of the ING Group, spanning countries such as the Netherlands, Germany, Spain, Italy, Poland, and Romania. By joining us, you will have the opportunity to implement and optimize machine learning models on a global scale, crafting innovative solutions for customers in diverse countries. We are committed to continuous professional development and offer every team member the chance to expand their skills and pursue their interests in a dynamic and collaborative environment.\nOur team operates within a Scrum framework, and we're currently seeking an additional ML DevOps Engineer who will enrich our team.\nThe role naming convention in the global ING job architecture will be “Engineer IV”","description_format":"text","description_chars":3069,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-12T08:38:06Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":17,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-13T00:06:18Z"},"pay":{"stated_usd_annual":85968,"is_top_pay":false},"html_url":"https://alion.io/job/ing-group-machine-learning-devops-engineer","json_url":"https://alion.io/job/ing-group-machine-learning-devops-engineer.json","meta":{"generated_at":"2026-10-13T00:06:18Z","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":137,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":3744},"rest":"https://alion.io/mcp/rest/get_company?id=3744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fing-group-machine-learning-devops-engineer"},{"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%2Fing-group-machine-learning-devops-engineer"},{"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%2Fing-group-machine-learning-devops-engineer"},{"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/ing-group-machine-learning-devops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fing-group-machine-learning-devops-engineer"}]}