{"id":2813259,"url":"https://alion.io/job/malomatia-data-and-ai-specialist","title":"Data and AI Specialist","company":{"id":1129,"name":"Malomatia","domain":"malomatia.com","url":"https://alion.io/company/malomatia","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-22T06:10:10Z"}},"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":["Doha, Qatar"],"countries":["QA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-18T09:26:22Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-22T09:29:08Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Deep technical expertise in data engineering, machine learning, and cloud AI services with strong governance and policy awareness, ensuring scalable, secure, and ethical use of AI in alignment with organizational goals.\n Design, build, and manage data pipelines and analytics platforms using Azure Data Factory, Synapse Analytics, and Data Lake.\nDevelop, train, and deploy machine learning and AI models on Azure Machine Learning and integrate with other cloud platforms where needed. \nImplement data governance, security, and compliance controls across multi-cloud environments. \nContribute to and support the organization’s AI and data strategy, ensuring alignment with digital transformation initiatives. \nEnsure multi-cloud interoperability, including the ability to migrate and optimize AI workloads across Azure, Google Cloud, and AWS. \nConduct data analysis, reporting, and visualization using Power BI, Tableau, or equivalent tools. \nEvaluate and adopt emerging AI/ML services from multiple cloud providers to maximize value. \nDocument and enforce AI governance frameworks, policies, and ethical guidelines. \nCollaborate with IT, governance bodies, and business stakeholders to identify AI use cases that deliver tangible business outcomes. \nProvide technical mentorship, training, and awareness sessions on AI and data tools to internal teams. \n Bachelor’s degree in computer science, Data Science, AI, or related field (required). \nMaster’s degree in AI, Business Analytics, or Information Systems (preferred). \nCertifications\nAzure certifications (Azure AI Engineer Associate, Azure Data Scientist, or Azure Solutions Architect) are highly desirable. \nMulti-cloud or vendor certifications (e.g. Google Cloud Professional ML Engineer, etc.) are a plus. \nTechnical Expertise\nStrong hands-on experience with Microsoft Azure AI and Data Services (Azure ML, Synapse, Cognitive Services, Data Factory, Data Lake). \nFamiliarity with multi-cloud integration and migration strategies. \nProficiency in Python, R, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). \nKnowledge of data governance, MLOps, and ethical AI frameworks. \nExperience in data visualization with Power BI, Tableau, or equivalent. \nStrong problem-solving and system integration skills. \nFluency in English (required); 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