{"id":1274412,"url":"https://alion.io/job/ozion-tech-machine-learning-engineer-aiml","title":"Machine Learning Engineer (AI/ML)","company":{"id":3809309,"name":"Ozion Tech","domain":"oziontech.com","url":"https://alion.io/company/ozion-tech","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":{"min":13000,"max":16000,"currency":"SGD","period":"month","gross":true,"usd_annual":150336},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Flink","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLlib","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-22T00:00:00Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"About the Role\nWe are seeking a skilled Machine Learning Engineer to join our AI team and build cutting-edge recommendation systems for gaming content. You will leverage state-of-the-art AI technologies to personalize user experiences and drive engagement across our gaming platforms.\nResponsibilities\nApply state-of-the-art AI and machine learning technologies to design, build, and optimize core recommendation models and systems, including but not limited to collaborative filtering, deep learning, and graph neural networks (GNNs), to continuously improve system performance and relevance.\nDevelop AI-driven content matching and user modeling strategies tailored to gaming scenarios (e.g., immersive content interactions), aligning recommendations with user preferences and behavioral patterns.\nDesign and implement user lifecycle value (LTV)-oriented recommendation strategies, optimizing traffic allocation and content distribution logic to maximize long-term user value.\nDesign high-efficiency content recommendation strategies aligned with user acquisition, retention, and engagement goals.\nCollaborate closely with Product, Data, and Operations teams to translate business requirements into practical AI/ML solutions that enhance overall user experience.\nSupport in-game image content distribution systems; improve content relevance and matching quality through advanced algorithm optimization.\nTrack cutting-edge advancements in AI and recommender systems (e.g., large-scale retrieval, reinforcement learning, multimodal learning), and drive the real-world implementation of technical innovations in gaming scenarios.\nRequirements\nBachelor’s degree or above in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related quantitative field.\nStrong foundational knowledge of recommendation systems, including retrieval, ranking, and cold-start mechanisms.\nFamiliarity with computer vision algorithms and models; hands-on experience in multimodal modeling is a strong plus.\nProficiency in mainstream AI/ML frameworks and tools (TensorFlow, PyTorch, Spark MLlib).\nSolid experience with large-scale distributed data processing systems (e.g., Hadoop, Spark, Flink).\nStrong user behavior analysis and predictive modeling capabilities; deep understanding of user engagement metrics and LTV optimization.\nExperience in image content recommendation, short-form video recommendation systems, or gaming content distribution is highly preferred.\nExcellent cross-functional collaboration and communication skills, with demonstrated ability to align technical objectives with business goals.\nExceptional learning agility and adaptability, with the ability to rapidly master emerging technologies and apply them to production environments.\nNice to Have\nExperience with reinforcement learning in recommendation contexts.\nPublications in top-tier ML conferences (NeurIPS, ICML, KDD, etc.).\nFamiliarity with MLOps practices and model serving infrastructure.\nSkills\nTensorFlow, Machine Learning, Mathematics, Artificial Intelligence, Computer Vision, Computer Science, Python, Modelling, Data Science, Scientific Computing","description_format":"text","description_chars":3136,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"visa":[],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.687,"p_room":0.75,"age_days":24,"expected_fill_days":30,"reasons":["seen:24","win:late"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":150336,"is_top_pay":false},"html_url":"https://alion.io/job/ozion-tech-machine-learning-engineer-aiml","json_url":"https://alion.io/job/ozion-tech-machine-learning-engineer-aiml.json","meta":{"generated_at":"2026-10-16T15:50:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":108,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3809309},"rest":"https://alion.io/mcp/rest/get_company?id=3809309"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fozion-tech-machine-learning-engineer-aiml"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fozion-tech-machine-learning-engineer-aiml"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fozion-tech-machine-learning-engineer-aiml"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ozion-tech-machine-learning-engineer-aiml\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fozion-tech-machine-learning-engineer-aiml"}]}