{"id":1379447,"url":"https://alion.io/job/tasq-microsoft-azure-ai-engineer","title":"Microsoft Azure AI Engineer","company":{"id":684584,"name":"TASQ","domain":"tasq.work","url":"https://alion.io/company/tasq-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":72,"ghost_share":0,"stale_share":0.764,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":60000,"period":"year","method":null,"sample_n":4502},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Google AI Studio","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Azure DevOps","optional":true},{"name":"GitHub Actions","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-09-28T07:44:33Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-01T02:23:08Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Overview\nWhile not all qualifications are mandatory, a strong mix of the listed skills and experiences will help you succeed in this role.\nA Microsoft Azure AI Engineer is responsible for designing, developing, and deploying intelligent solutions using Azure Machine Learning and Azure Cognitive Services. This role focuses on leveraging prebuilt AI capabilities and custom machine learning workflows to build scalable, secure, and responsible AI applications that meet business needs.\nJob Responsibilities\nAI Solution Development\nDesign and implement AI solutions using Azure Machine Learning, Azure AI Studio, and Azure AI Services.\nBuild and deploy Python-based machine learning models using Azure ML pipelines and SDKs.\nIntegrate prebuilt AI capabilities (Vision, Language, Speech, Document Intelligence) into enterprise applications.\nCollaboration & Business Alignment\nWork closely with data engineers, analysts, and business stakeholders to translate business requirements into AI-driven solutions.\nParticipate in solution architecture discussions to ensure alignment with enterprise standards and scalability.\nResponsible AI & Governance\nApply Responsible AI principles, ensuring fairness, transparency, and accountability in AI models.\nEnsure compliance with data privacy, security, and governance standards across AI workloads.\nMonitoring & Optimization\nMonitor AI workloads using Azure Monitor, Application Insights, and MLOps best practices.\nContinuously optimize model performance, cost-efficiency, and reliability.\nJob Qualifications\nBachelor’s degree in Computer Science, Engineering, or a related field.\nExperience in designing and deploying AI/ML solutions on Azure.\nProficiency in Python and Azure SDKs for machine learning and cognitive services.• Strong understanding of AI/ML fundamentals, including model training, evaluation, and deployment.\nFamiliarity with cloud-native development and CI/CD practices for ML workflows.\nExcellent communication and collaboration skills.\nPreferred Skills\nExperience with Azure AI Studio, Azure ML Designer, and AutoML.\nKnowledge of MLOps practices and tools such as MLflow, Azure DevOps, or GitHub Actions.\nMicrosoft certifications (e.g., Azure AI Engineer Associate) are a plus.\nFamiliarity with Power BI for integrating AI insights into dashboards.","description_format":"text","description_chars":2310,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Human Resources","Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-09-28T07:44:33Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":41,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/tasq-microsoft-azure-ai-engineer","json_url":"https://alion.io/job/tasq-microsoft-azure-ai-engineer.json","meta":{"generated_at":"2026-10-01T10:26:41Z","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":1571,"day_limit":5000,"remaining_today":3429,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}