{"id":2123918,"url":"https://alion.io/job/econsulting-senior-machine-learning-engineer-pythonmlops","title":"Senior Machine Learning Engineer (Python/MLOps)","company":{"id":3913609,"name":"eConsulting","domain":"econsulting.co","url":"https://alion.io/company/econsulting-2","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"B","score":75,"open_postings":23,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":112000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":40},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Ray Serve","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Docker","optional":true},{"name":"Julia","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-06-29T14:26:49Z","employer_posted_date":"2026-06-29","last_verified_at":"2026-10-10T23:13:21Z","board_verified":true,"closed_at":null,"days_open":103,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":102},"description":"Workplace: hybrid, Warsaw\nWorkload: Full-time\nType of Contract: B2B\n\nJoin our fast-growing team as a Senior Machine Learning Engineer and shape the future of geospatial data analysis using a cutting-edge tech stack, including Ray Serve and AWS. In this role, you will take full engineering ownership of deploying advanced AI models, transforming raw data at a scale of hundreds of millions of rows into reliable, real-time services.\n\nKey Responsibilities\nOwning the deployment of new risk models and scores into production on Ray Serve, and lifting the Insurance AI team's deployment maturity.\nWorking with large-scale data sets (hundreds of millions of rows) and building custom workflows on top of existing platform foundations.\nOwning data transformation pipelines that turn semantic geospatial maps of a property into attributes suitable for categorical modelling.\nCollaborating with platform and infrastructure engineers to ensure solutions run reliably on our large data sets and accelerated model inferencing.\nEmbedding MLOps and CI/CD best practice into the Insurance AI workflow, and feeding requirements back into the central platform.\nRequired Skills and Experience\nAt least 5 years of industry experience writing Python in a professional software or ML engineering context.\nStrong data engineering skills, SQL, and hands-on experience with workflow orchestration tools such as Airflow, Spark, or similar.\nA track record of deploying and operating ML models in production, including serving infrastructure, monitoring, and the realities of keeping models healthy over time.\nSolid software engineering fundamentals: clean, maintainable, well-tested code, and fluency in a shared codebase (feature branches, pull request reviews, collaborative development).\nHands-on MLOps and CI/CD experience.\nStrong communication skills, including the ability to work with Data Scientists and other non-platform engineers without losing the technical plot, and to mentor others in good engineering practice.\nA degree in Computer Science or a related technical field, or equivalent practical experience.\nNice to have\nAWS experience (S3, EC2, ECS).\nDocker and containerised environments.\nExperience with Ray or other distributed compute frameworks.\nREST API integration at scale.\nFamiliarity with geospatial data.\nWhat do we offer?\nBenefits package (private health insurance, sports card, group insurance).\nFree English lessons with a dedicated teacher.\nAccess to an extensive training library covering both soft and technical skills.\nSports activities.\nTeam-building events, contests, and challenges. \nSales Incentive Program and Refer-a-Friend Program.\nWho we are - in a nutshell:\nWe are a leader in technology services for companies in regulated industries. We have completed hundreds of projects for clients around the world and have over 24 years of experience in the market, with a particular focus on areas such as life sciences, QA, validation, cloud systems, human capital management (HCM), and Salesforce.\nIndustry: We operate globaly in the IT sector z własnym zapleczem developerskim\nClients: Oriflame, Sanofi, Coca-Cola and many others.\nHow do we work? 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