Machine Learning Engineer

Machine Learning Engineer (Global Business)VISASQ operates a knowledge platform dedicated to its mission: "We make insightful connections possible."By leveraging an extensive global network of over 700,000 experts, we connect business challenges—from new business development and HR strategies to global expansion—with individuals possessing precisely the right knowledge. Our tailored solutions, including one-hour interviews, online surveys, and dedicated hands-on support, empower companies to overcome obstacles and achieve their most ambitious goals.As a pioneer in Japan's Expert Network Service (ENS) industry, we aim to further strengthen our market presence and evolve into a global product that transcends regional and language barriers. To deliver value to users faster and accelerate our growth, we are seeking a Product Manager to lead initiatives around autonomous AI agents utilizing predictive and generative models. This role will contribute to both engineering and architecture design.We are seeking an experienced Machine Learning Engineer to join our Tokyo, Japan team.Key ResponsibilitiesCollaborating with engineers at US team on service developmentDesigning, implementing, and validating machine learning modelsPromoting CI/CD pipelines, training, model monitoring, and version control based on MLOps best practicesOptimizing machine learning model performance and scalabilityFine-tuning large language models (LLMs) and designing/implementing trainingStay current with the latest trends in machine learning, MLOps, and LLMs; researching and proposing new technologies and methodologiesRole HighlightsWork closely with the business side throughout the entire process, from problem-solving discussions and specification design to release and continuous improvement.In addition to solving challenges based on business-side requests, engineers are also encouraged to propose their own ideas.Since you can be involved from the planning stage of initiatives, this is an environment where you can make a significant contribution to the growth of the service as an engineer.Depending on your preferences, there may also be opportunities to work at our New York development hub and build a global career.Technical EnvironmentProgramming language: Python, C# (ASP.NET Core)Database: Microsoft SQL ServerMachine Learning: Azure OpenAIRequired QualificationsBachelor's or Master’s Degree in Computer Science, Data Science, Mathematics, or equivalent knowledge/experienceOne year or longer Experience developing and operating machine learning models utilizing NLP (Natural Language Processing), or practical experience in data scienceBusiness-level or higher English proficiency (speaking, reading, writing)Japanese proficiencyMust reside in or be willing and able to relocate to Japan.Preferred QualificationsExperience developing in public cloud environmentsExperience growing services through continuous development and operations while collaborating with cross-functional team membersWork LocationTokyo (Head Office)1F and 9F, 4-7-7 Aobadai, Meguroku, Tokyo 153-0042, JapanContract TypePermanentProbationary Period3 months (same T&C applies as Permanent)RemunerationSalary and Bonus: determined based on skills and experiencesWorking HoursDiscretionary labor system, similar to exempt employeeAverage working hours: 160 hours/month (average for development team members in second half of FY 2022)HolidayAnnual holidays: 127 days per yearFull two-day weekends (Saturday and Sunday) and national public holidaysNew Year holiday (Year-end and New Year break)Paid annual leave (granted after 3 months of employment)Self-development leave (up to 5 consecutive days per year, separate from annual leave)BenefitsMonthly wellness and productivity allowance (up to 10,000 yen per month for body care, housework support services, learning and skill development, etc.)Support for external seminar participationBook purchase supportAnnual flu vaccinationAnnual health check-up and optional health screeningAccess to health insurance benefits (includes access to partner resorts, gyms, restaurants, etc.)Company housing systemRelocation support for hires from outside the area (at time of hire only)Company support for study groups and social gatheringsInternal club activity supportLunch allowance for new hire welcome events and internal networkingInsuranceHealth insurancePension insuranceEmployment insuranceWorker's accident insuranceWork System / StyleHybrid Work: 3 days attendance per weekSide jobs: Possible (with prior approval)Dress code: FreeApplyhttps://job.persona-ats.com/en/visasq/jobs/883805d3-eb6e-4103-88ea-3796fb45d2dd