{"id":3725294,"url":"https://alion.io/job/gen-digital-machine-learning-manager-moneylion","title":"Machine Learning Manager - MoneyLion","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":78,"open_postings":29,"ghost_share":0,"stale_share":0.621,"repost_share":0.069,"time_to_fill_p50_days":63,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Management","role_family":"Management","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":"CI/CD","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-04T04:28:17Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T09:46:30Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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\nWe are looking for a Manager to lead a team building and scaling machine learning and AI solutions that drive measurable business impact. This role is designed for someone who is passionate about applied machine learning, artificial intelligence, and using data-driven solutions to solve real-world problems.\nAs a Manager, Machine Learning & AI, you will combine people leadership, technical direction, and cross-functional execution to bring machine learning and AI solutions from experimentation into production. You will help shape the team’s roadmap, guide technical decision-making, and work closely with Product, Engineering, Data, and platform partners to deliver solutions that are scalable, reliable, and valuable to the business.\nThis role is well suited for someone who enjoys leading teams while staying close enough to the work to influence architecture, execution quality, and engineering standards. You should be comfortable translating ambiguous business problems into practical machine learning and AI opportunities, and helping a team deliver them end to end.\nKey Responsibilities\nLead, coach, and develop a high-performing machine learning and AI team, fostering a culture of ownership, technical excellence, and continuous learning.\n\nShape the technical direction of machine learning and AI initiatives aligned with business priorities and product goals.\n\nPartner closely with Product, Engineering, Data, and platform teams to frame business problems and translate them into machine learning and AI solutions.\n\nGuide projects from early exploration and experimentation through development, productionization, monitoring, and iteration.\n\nDrive strong standards in experimentation, model evaluation, reliability, maintainability, monitoring, and governance across the team’s work.\n\nSupport the team in designing scalable machine learning systems, workflows, and development practices that improve long-term delivery velocity.\n\nProvide technical guidance on architecture, trade-offs, and implementation strategy without becoming a bottleneck for the team.\n\nCommunicate technical concepts, risks, and opportunities clearly to both technical and non-technical stakeholders.\n\nResearch, evaluate, and guide the practical adoption of new machine learning and AI ideas, including modern methods such as LLM-based systems, where they can create meaningful business value.\n\nHelp build repeatable capabilities, frameworks, and ways of working that enable multiple machine learning efforts to succeed over time, not just individual one-off projects.\n\nAbout You\nDemonstrated experience leading machine learning or AI initiatives from idea to production, with a track record of translating business problems into practical solutions.\n\nExperience managing, mentoring, and developing technical team members.\n\nStrong foundation in machine learning, experimentation, statistical thinking, and software engineering.\n\nGood programming knowledge and strong hands-on familiarity with Python and SQL.\n\nExperience developing, deploying, and operating machine learning systems in production.\n\nAbility to frame business problems, prioritize effectively, and guide teams toward practical, high-impact solutions.\n\nStrong communication and collaboration skills, with the ability to work effectively across\ntechnical and non-technical stakeholders.\n\nComfortable operating in fast-paced and ambiguous environments while balancing execution, technical quality, and team growth.\n\nExperience working with modern machine learning frameworks and tooling, with the\nability to evaluate and apply the right technologies for different use cases.\n\nFamiliarity with modern MLOps tooling and production workflows, including model monitoring, CI/CD, and lifecycle management.\n\nExperience with cloud platforms and production infrastructure.\n\nExposure to natural language processing, search, recommendation systems, or modern GenAI / LLM application patterns is a plus.\n\nExperience improving engineering standards, governance, and reusable internal capabilities across multiple machine learning projects.\n\nWhat's Next...\nScreening Call\n\nTake Home Assessment\n\nHiring Manager Interview\n\nStakeholder Chat","description_format":"text","description_chars":5556,"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":"2026-11-04T05:02:16Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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