machine learning solutions engineer i global tech leader.

Lead cutting-edge AI/ML projects and shape the future of learning at a dynamic global tech company.■About the companyOur client is a leading global technology company renowned for its innovation in artificial intelligence and machine learning. They offer a collaborative and fast-paced environment where employees have the opportunity to work on impactful projects and contribute to a rapidly growing sector. Randstad is proud to partner with them in their search for top talent.■Role & ResponsibilitiesAs a Machine Learning Solutions Engineer, you will be at the forefront of delivering and enhancing immersive machine learning experiences for clients. You'll collaborate closely with customers, guiding them through the application of AI/ML to solve real-world business challenges. You will design and deliver engaging learning content, identify and work with G ML experts, and continuously improve the program based on client feedback and industry advancements. This role offers a unique blend of client interaction, technical expertise, and continuous learning within a highly collaborative environment.■Main tasks include・Lead the design and delivery of engaging and impactful machine learning curriculum for clients.・Develop and maintain cutting-edge AI/ML content for the Advanced Solutions Lab.・Collaborate with internal and external stakeholders to ensure client success.・Identify and engage company ML experts to support various program sessions.・Continuously improve the curriculum and program offerings based on client feedback and industry trends.If you are interested in this exciting opportunity, apply now.We look forward to hearing from you.#LI-Hybrid

求められる経験
■Requirements
・Bachelor's degree in Computer Science, Mathematics, Machine Learning, or a related field.
・5+ years of experience building and deploying ML models using TensorFlow, Keras, PyTorch, or similar frameworks.
・2+ years of experience in a cloud environment (e.g., Google Cloud, AWS, Azure).
・Proven ability to communicate complex technical concepts clearly and effectively to both technical and non-technical audiences.
・Fluent in both Japanese and English.
・Experience working with large datasets and data warehousing concepts is a plus.
・Experience in client-facing technical consulting or training is highly desirable.
・Strong problem-solving and analytical skills.
・Passion for continuous learning and staying up-to-date with the latest advancements in AI/ML.

保険
健康保険　厚生年金保険　雇用保険

休日休暇
土曜日　日曜日　祝日

給与
年収1,400 ～ 2,400万円

賞与
-
雇用期間
期間の定めなし