{"id":1813983,"url":"https://alion.io/job/luza-group-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":3807097,"name":"LUZA Group","domain":"luzagroup.com","url":"https://alion.io/company/luza-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"teamlyzer.com","ats_vendor":"Gupy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":118000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":585},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-02T00:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Sobre a vaga\nMachine Learning Engineer to deploy models developed by Data Scientists into production environments. You will build ML-focused CI/CD pipelines and monitor production models. Work together with expert teams on projects of large magnitude and intensity, long term together with our clients.\nO que vais fazer\nDeploy machine learning models developed by Data Scientists into production environments\nBuild, maintain, and support ML-focused CI/CD pipelines\nMonitor production models, track performance, failures, and key metrics\nImplement monitoring and alerting solutions\nDevelop clean, scalable, and testable Python code\nCollaborate closely with Data Scientists and Data Engineers\nSupport model deployment and data transformation initiatives\nOptimize model performance, response times, and operational efficiency\nManage production model lifecycles and deployments\nContribute to building MLOps practices from the ground up\nSupport automation initiatives for model retraining workflows\nDeploy and manage ML workloads on AWS, Azure, or GCP\nBuild and maintain model-serving APIs using FastAPI or Flask\nDeploy and optimize ML solutions using Docker and Kubernetes\nO que é pedido\nMachine Learning Engineer with 3+ years of professional experience\nStrong Python developer with experience in OOP, testing frameworks, and software design patterns\nSkilled in SQL and data manipulation\nFamiliar with MLOps principles, Git versioning, pull requests, and code reviews\nExperienced with TensorFlow, PyTorch, and Scikit-learn\nComfortable working with AWS, Azure, or GCP\nExperienced in CI/CD, Docker, Kubernetes, and production deployments\nProactive problem-solver with strong ownership and accountability\nCollaborative professional able to work effectively across teams\nAdaptable and comfortable working in fast-paced, evolving environments\nFluent in English (minimum B2 level)\nAvailable to work in a hybrid model (2 days/week in the Lisbon office)\nO que é oferecido\nWage according to candidate's professional experience\nRemote Work whenever possible\nDelivery of work equipment adjusted to the performance of functions\nBenefits plan\nAnd others\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":2233,"description_truncated":false,"requirements":{"experience_years_min":3,"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":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-03T22:43:07Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":19,"reasons":["conf:1","win:early"],"computed_at":"2026-10-04T01:07:52Z"},"pay":null,"html_url":"https://alion.io/job/luza-group-machine-learning-engineer","json_url":"https://alion.io/job/luza-group-machine-learning-engineer.json","meta":{"generated_at":"2026-10-04T01:07:52Z","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":1448,"day_limit":5000,"remaining_today":3552,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}