{"id":1352066,"url":"https://alion.io/job/teamlyzer-senior-ai-engineer-3","title":"Senior AI Engineer","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":"2026-09-30T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":45000,"max_usd":88000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Weights & Biases","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":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Sobre a vaga\nYou will bring innovation, intelligence and experience together to shape robust, secure and scalable digital solutions.\nO que vais fazer\nDesign, operate and troubleshoot end-to-end data and ML pipelines in production environments\nIntegrate and run ML/AI models, ensuring correct handling of inputs, outputs and data changes\nBuild and maintain batch and streaming pipelines using Spark / PySpark\nMonitor systems using logs, metrics and alerts, ensuring operational stability\nContribute to CI/CD pipelines and DevOps practices for data and ML workloads on Azure\nCollaborate with backend, platform and business teams in distributed environments\nDevelop production-grade solutions using Python, SQL, JSON/YAML, Git\nImplement and debug pipelines on Azure (Data Lake, Databricks)\nUse ML experimentation tools (MLflow, Weights & Biases, Databricks ML) and notebooks (e.g. Synapse)\nEnsure idempotent processing, performance profiling and safe re-runs\nApply data validation, sanity checks and numerical precision awareness\nEnsure observability through log and metric interpretation\nApply basic access control (RBAC) and secure data handling practices\nWork within regulated environments (Financial Services)\nParticipate in Agile delivery, documentation practices and incident awareness\nModel Lifecycle awareness as well as assumptions & limitations\nAware of compliance contraints\nO que é pedido\nUniversity degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field\n7 to 10 years of relevant work experience\nExperience in data/AI production environments\nExperience in incident/support environments\nExperience with Python (production usage), SQL and SQL-based database systems\nKnowledge in PySpark / Spark, Azure (Synapse, Data Lake, Databricks) as well as CI/CD and DevOps tools (Azure DevOps, pipelines)\nUnderstanding of Monitoring tools (logs, alerts)\nProfessional English (C1 Level required in spoken and written)\nEffective communication with both technical and non-technical stakeholders\nStrong collaboration skills within distributed and cross-functional teams\nProactive mindset with a high sense of ownership and accountability\nStructured approach to incident and problem management\nAbility to prioritize workload efficiently in a dynamic environment\nLegal: Must own a valid work permit or EU/Schengen Space Nationality to legally work in Portugal\nValorizado\nFrench or Dutch is a plus\nO que é oferecido\nHealth insurance\nLife Insurance and Pension Plan Programs\nFree medical services at the office (Physician, Nutritionist, Psychologist)\nWellness programs\nFlexben Program (Support for Education, Kindergarden, Training, Technology, Health)\nEmployee Share Purchase Plan\nPersonalized training paths and access to Udemy and Plurisight Plataforms\nFlex-ability program (financial and flexible support for people with disabilities)\nSpecial banking conditions\nHybrid working model\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":3036,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Health insurance","Hybrid work","Life insurance","Wellness"],"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":"2026-09-27T19:32:22Z"}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.616,"p_room":1,"age_days":6,"expected_fill_days":31,"reasons":["seen:6","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/teamlyzer-senior-ai-engineer-3","json_url":"https://alion.io/job/teamlyzer-senior-ai-engineer-3.json","meta":{"generated_at":"2026-10-01T05:16:44Z","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":4977,"day_limit":5000,"remaining_today":23,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}