{"id":3447502,"url":"https://alion.io/job/fuku-ai-engineer-4","title":"AI Engineer","company":{"id":3546,"name":"Fuku","domain":"fuku.sg","url":"https://alion.io/company/fuku","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":555,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":120,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":180000,"period":"year","method":"role_country_seniority_unknown","sample_n":120},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Room","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-29T09:03:24Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-30T20:34:35Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"What You’ll Do\nBuild, train and deploy AI models and algorithms that solve real business problems\nWork with product, engineering and business teams to bring AI into live systems and workflows\nExplore the latest in AI and machine learning, and turn what you learn into better products\nTune models for speed, scale and accuracy\nDig into large datasets to find insights that guide decisions\nDocument your models, processes and workflows so the whole team can build on them\nJoin code reviews, testing and debugging to keep quality high\nHelp shape and grow our AI engineering team\nWhat You Bring\nBachelor’s or Master’s degree in Computer Science, AI, Machine Learning or a related field\nAround 2 years of experience deploying AI or ML models in a professional setting. 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