**Company: Rakuten Group, Inc. Job Description Summary: The job description for the Generative AI Product Manager at Rakuten emphasizes the importance of utilizing AI technologies to positively impact society. The ideal candidate should have a strong foundation in product management and experience in managing products that leverage data science and machine learning. Responsibilities include collaborating with technical and business leaders, defining product vision, overseeing the development of AI applications, and monitoring product performance.
**Company: Sympower Job Description Summary: The Sympower data team is focused on delivering forecasting and optimisation services, self-service data capabilities, and BI dashboards. They collaborate with other Engineering Teams to integrate data within the Sympower software ecosystem. The Machine Engineer role focuses on delivering forecasts and optimisations, designing and implementing scalable machine learning software and data pipelines, and engaging in experimental initiatives. The company offers a competitive compensation package and a commitment to creating an inclusive culture.
**Company: autarc Job Description Summary: We are looking for a Machine Learning Engineer with expertise in computer vision to set up ML infrastructure, develop models, and integrate solutions to streamline heat pump installations. Qualifications include proficiency in ML techniques, experience with frameworks like TensorFlow, and familiarity with LiDAR technology. The role is based in Berlin and offers benefits such as an office in Berlin-Mitte, equipment budget, annual team retreat, mobility and fitness packages, and a collegial team environment.
**Company: Understanding Recruitment Job Description Summary: The company, Understanding Recruitment, is seeking a Machine Learning Engineer to join their team. The role involves working on a platform for large language models, with tasks including selecting and ensuring the models work well, collaborating with the infrastructure team, developing new features, assisting users, and fine-tuning models. The ideal candidate should have a background in LLMs, Python coding, and cloud deployment, as well as experience in product development, recommender systems, and forecasting.
Company: Booking.com Job Description Summary: Senior Machine Learning Scientist position at Booking.com requires a strong technical leader to develop innovative ML models and algorithms for personalized customer experiences. Key responsibilities include translating business problems into ML challenges, developing technical strategies, and mentoring team members. Candidates should have a Masters degree or PhD in a quantitative field, deep learning experience, and proficiency in Python and Big Data technologies. Benefits include competitive compensation, relocation support, performance-based rewards, and career advancement opportunities.
**Company: ING Bank Personeel BV Job Description Summary: The team ING Analytics is responsible for realizing the vision of ING as a leader in data-driven organization within the banking sector. Roles and responsibilities include working on advanced analytics solutions for Financial Crime domain globally. The focus areas are designing and implementing solutions using Generative AI and LLM technologies. Success in this role requires thinking ahead, enthusiasm for helping others, learning attitude, and pro-active attitude.
**Company: JP02 NVIDIA Japan KK Job Description Summary: The Worldwide Field Operations (WWFO) team at NVIDIA is seeking a Data Science Solution Architect with expertise in Machine Learning, Deep Learning, and Data Science platforms. Exposure to inferencing technology is desirable. This role involves working with cutting-edge computing hardware and software to drive breakthroughs in artificial intelligence. The Solutions Architect will be responsible for enabling customer productivity, developing relationships with technology partners, and coordinating efforts between different departments.
**Company: JP02 NVIDIA Japan KK Job Description Summary: NVIDIA is looking for a Data Science focused Solution Architect with expertise in ML, DL, and Data Science platforms. The role involves working with cutting-edge AI computing hardware and software, enabling customer productivity, and developing lasting relationships with technology partners. The Solutions Architect will work with the latest HPC architectures and advanced neural network models to change the way people interact with technology.
**Company: JP02 NVIDIA Japan KK Job Description Summary: NVIDIA is looking for a Data Science focused Solution Architect with expertise in ML, DL, and Data Science platforms. The role involves working on AI hardware and software to drive breakthroughs in artificial intelligence, developing relationships with technology partners, and enabling customer productivity. Responsibilities include working with HPC architectures, neural network models, and collaborating with various teams within the organization. Requirements include excellent communication skills in Japanese and English, a degree in Computer Science or related field, and 3+ years of experience in machine learning or data science.
**Company: JP02 NVIDIA Japan KK Job Description Summary: NVIDIA is looking for a Data Science focused Solution Architect with expertise in ML, DL, and Data Science platforms. They need someone who can enable customer productivity and work with the latest AI technology. The Solutions Architect will work with key customers, optimize performance on GPU systems, and develop suitable solutions. Qualifications include excellent communication skills, a MS/PhD in relevant fields, and 3+ years of experience in ML, DL, or Data Science.
**Company: JP02 NVIDIA Japan KK Job Description Summary: The NVIDIA Worldwide Field Operations team is seeking a Data Science focused Solution Architect with expertise in Machine Learning and Deep Learning. They are looking for someone who can work with the latest computing hardware and software, driving breakthroughs in artificial intelligence. The Solutions Architect will work with HPC architectures and advanced neural network models, providing technical expertise to customers. Responsibilities include developing and demonstrating solutions, working with key customers, optimizing performance on GPU systems, and collaborating with Engineering, Product, and Sales teams.
