{"id":1337953,"url":"https://alion.io/job/teamlyzer-machine-learning-engineer-mid","title":"Machine Learning Engineer | Mid","company":{"id":701663,"name":"Teamlyzer","domain":"teamlyzer.com","url":"https://alion.io/company/teamlyzer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":"teamlyzer.com","ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-09-29T05:45:00Z"}},"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":33000,"max_usd":94000,"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":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T00:00:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Sobre a vaga\nThis role focuses on bringing machine learning models into production, supporting the creation of pragmatic MLOps practices. You will join an international technology and professional services environment based in Lisbon, ensuring reliable deployment, monitoring, and operational performance.\nO que vais fazer\nDeploy machine learning models developed by data science teams into production environments with reliability and operational control\nBuild, execute and maintain ML-focused CI/CD pipelines, starting with pragmatic deployment approaches and evolving towards automation\nMonitor production models by tracking performance, failures, key metrics and basic alerts\nWrite clean, structured, reusable and testable Python code aligned with team standards\nCollaborate with data scientists and data engineers to align model deployment, data transformation and production operations\nOptimize model response times and operational efficiency in production environments\nContribute to retraining automation initiatives and the continuous improvement of MLOps practices\nO que é pedido\nMore than 3 years of experience in machine learning, model deployment or related production engineering work\nProfessional working proficiency in English, at least B2 level\nExperience working in hands-on environments where solutions need to be created, documented and improved progressively\nCollaborative profile with the ability to work closely with data science, data engineering and software engineering teams\nProactive communication, ownership and accountability for deployment, monitoring and production support activities\nProblem-solving ability to address moderately complex technical challenges with appropriate guidance\nAdaptability to feedback, evolving practices and changing technical priorities\nAvailability for a hybrid work model in Lisbon\nPython, including project structure, reusable code, object-oriented programming, design patterns and testing practices\nPytest or unittest\nSQL for querying, transforming and analyzing data\nMLOps fundamentals, including Git versioning, pull requests, code reviews and ML-specific versioning practices\nCI/CD pipelines with tools such as GitHub Actions or Jenkins\nCloud platforms such as AWS, GCP or Azure for ML workload execution and integration\nMachine learning frameworks such as TensorFlow, PyTorch and Scikit-learn\nDocker or Kubernetes for model deployment\nModel optimization and compression concepts\nAPI development for model serving using FastAPI or Flask\nMonitoring and alerting practices for production systems\nValorizado\nBasic knowledge of Java or Scala for integration with existing systems\nO que é oferecido\nPrivate health insurance from the first day, with no waiting periods and optional family extension\nConfidential and free access to psychological support, content and live sessions through TEAM 24\nContinuous training and certification support to strengthen long-term professional development\nFlexibility whenever the role and context allow it, supporting balance across different life stages\nChildcare vouchers and practical support measures for family life\nTeam moments, shared milestones and leadership presence when it matters most\nUpskilling opportunities in quality management, information security, AI governance and cybersecurity best practices\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":3406,"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":["Health insurance","Hybrid work","Professional development"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Career Services","Job Boards & Aggregators","Online Reviews & Ratings"],"lifecycle":[{"event":"open","at":"2026-09-27T14:54:48Z"}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.615,"p_room":1,"age_days":5,"expected_fill_days":31,"reasons":["seen:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/teamlyzer-machine-learning-engineer-mid","json_url":"https://alion.io/job/teamlyzer-machine-learning-engineer-mid.json","meta":{"generated_at":"2026-09-30T02:32:48Z","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":1751,"day_limit":5000,"remaining_today":3249,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}