{"id":2904232,"url":"https://alion.io/job/gen-digital-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":3431,"name":"Gen Digital","domain":"gendigital.com","url":"https://alion.io/company/gendigital","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":25,"ghost_share":0,"stale_share":0.6,"repost_share":0.04,"time_to_fill_p50_days":63,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"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":"BentoML","optional":false},{"name":"Docker","optional":false},{"name":"DVC","optional":false},{"name":"Kubernetes","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Metaflow","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seldon Core","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false}],"status":"closed","first_seen_at":"2026-10-20T05:55:26Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T19:37:02Z","board_verified":false,"closed_at":"2026-10-26T19:37:02Z","days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"About Gen:\nGen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.\nTogether, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate - leveraging it to move faster and deliver meaningful results.\nWhen you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career - from flexible working options and time off to competitive pay, benefits and well-being programs.\nAt Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.\nIf this sounds like you, we’d love you to be part of Gen.\nAbout the Role:\nThe Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!\nWe are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.\nKey Responsibilities:\nAble to frame and contextualize machine learning problems\n\nResearch, build and design machine learning systems and models that can solve business problems\n\nAssess, understand and analyse data to select appropriate datasets for data modelling and testing\n\nIdentify, prototype and implement appropriate machine learning algorithms and tools to improve our products\n\nDesign, execute and monitor machine learning model experiments and metrics\n\nPerform statistical analysis to evaluate and prove business impact of modelling improvements\n\nAutomate, architect and orchestrate machine learning processes and pipelines\n\nMonitor, optimise and maintain machine learning solutions in production\n\nEnrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion\n\nWork with MLOps Engineers and Data Scientists to improve systems designs and architectures\n\nEnforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems\n\nDevelop tools and internal libraries to facilitate model governance over the machine learning development lifecycle\n\nAbout you:\nStrong mathematical, statistical or actuarial background\n\nGood programming knowledge and software engineering skills\n\nMust have hands on experience in machine learning, predictive analytics and statistical modelling\n\nExperience developing and deploying machine learning models in production.\n\nAdept at problem solving and troubleshooting using both textbook methods and novel viewpoints\n\nProficient in Python and SQL\n\nProficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM\n\nPreferably have experience in building machine learning systems and workflows\n\nPreferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML\n\nPreferably familiar and have experience with AWS, Docker, Kubernetes.\n\nSolid communication and collaboration skills.\n\nWhat’s next:\nTA Call (15 min)\n\nTake-Home Assessment\n\nInterview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)\n\n__________\nGen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.","description_format":"text","description_chars":4782,"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":["Continuous learning","Flexible schedule"],"hiring_locations":[{"name":"Malaysia","iso":"MY","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Identity Management","Endpoint Security","Consumer & Utility Software"],"lifecycle":[{"event":"open","at":"2026-10-20T07:24:23Z"},{"event":"close","at":"2026-10-26T19:37:02Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/gen-digital-machine-learning-engineer","json_url":"https://alion.io/job/gen-digital-machine-learning-engineer.json","meta":{"generated_at":"2026-10-27T06:38:35Z","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":6915,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":3431},"rest":"https://alion.io/mcp/rest/get_company?id=3431"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgen-digital-machine-learning-engineer"},{"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%2Fgen-digital-machine-learning-engineer"},{"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%2Fgen-digital-machine-learning-engineer"},{"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/gen-digital-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgen-digital-machine-learning-engineer"}]}