{"id":613087,"url":"https://alion.io/job/betsson-machine-learning-engineer-2","title":"Machine Learning Engineer","company":{"id":668704,"name":"Betsson","domain":"betsson.com","url":"https://alion.io/company/betsson-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":36,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-09-26T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":99000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":456},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-04-14T08:33:28Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T23:37:21Z","board_verified":true,"closed_at":null,"days_open":165,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":165},"description":"The Wow\nAs a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.\nA taster of what you will be involved with: \nDesign, implement, and optimize machine learning models to solve complex business problems.\nOversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.\nWork closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.\nStay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.\nWrite and maintain high-quality, production-ready code for machine learning models and services.\nProvide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.\nWhat we are looking for:\nBachelor's or Master's degree in Computer Science, Engineering, or a related field.\n3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.\nProficiency in Python, MLFlow and Spark would be considered an asset.\nExperience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.\nStrong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.\nExcellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.\nWhat we offer\nFitness-wellness allowance \nCompany mobile phone for private use with 100 GB \nAnnual HUF devaluation compensation \nHybrid model: 3 days in the office & 2 days from home \nPrivate Health Insurance \nCareer development \nTechnical and soft-skill training opportunities \nBreakfast, fruits & lunch \nTeam building events \n\nChallenge accepted?\nIf you are interested to learn more, please apply with your CV in English.\nBy submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy","description_format":"text","description_chars":2263,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health insurance"],"hiring_locations":[{"name":"Hungary","iso":"HU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-10T18:21:38Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.26,"p_room":0.28,"age_days":164,"expected_fill_days":45,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/betsson-machine-learning-engineer-2","json_url":"https://alion.io/job/betsson-machine-learning-engineer-2.json","meta":{"generated_at":"2026-09-27T00:34:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":492,"day_limit":5000,"remaining_today":4508,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}