拳头游戏Principal Animation Artist - Unpublished R&D Product
任职要求
• 8+ years of professional experience working in Maya • Proficient in using Unreal Engine. • Excellent execution skills, capable of actively cooperating with project milestones. • Complete project experience, with at least one launched game project experience. • Familiar with the League of Legends IP and art style. • Fluent in Mandarin…
工作职责
• Set an animation vision based on the game design that embodies the creative direction. • Develop and refine Animation Style and Process Guides. • Work with the cross-functional teams to create memorable and expressive character moments. • Understand League of Legends characters and recognize opportunities to enhance champion expression. • Meet project deadlines in a timely manner without compromising artistic integrity. • Consistently communicate with the team by giving and receiving feedback, directing next steps, and providing clear goals and outcomes to your team. • Guide and give feedback to animation outsourcing partners.
About Level Infinite Level Infinite 是腾讯旗下国际游戏业务品牌，致力为全球玩家带来充满乐趣、原汁原味的游戏体验，让玩家随时随地进入游戏世界；并通过打造包容、互通、便捷的玩家社区，促进分享交流。 Level Infinite为合作工作室提供一系列支持及服务，助力其释放产品潜能。 Level Infinite发行产品包括《PUBG MOBILE》、《Goddess of Victory: NIKKE 》《Honor of King》等热门游戏，并与合作工作室联手推出了来自Fatshark的《战锤40K：暗潮》、Funcom的《沙丘：觉醒》、Inflexion Studios的《夜莺》在内多款产品。 想进一步了解Level Infinite，请访问www.levelinfinite.com，并在Twitter、Facebook、Instagram和Youtube上关注我们的官方账号。 Job Responsibilities 1. 结合游戏玩法，构思及制作剧情战斗衔接体验，角色大招等演出的分镜设计； 2. 负责游戏剧情过场动画、PV动画等视频的分镜设计； 3. 分析项目需求，盘点游戏资产，规划后续视频的生产计划； 4. 与其他环节沟通协调，跟进演出设计落地的最终效果； Work Location: China-Guangzhou
Nous recherchons un(e) stagiaire motivé(e) et dynamique pour rejoindre notre belleéquipe Retail. Vous participerez activement au développement de notre marque chez nos partenaires distributeurs et serez impliqué(e) dans la mise en place des stratégies Retail. Ce stage vous offrira une immersion complète dans la gestion des comptes cléset le développement commercial sur le terrain.Vous aurez l’occasion de travailler sur l’ensemble des catégories de produits distribuées par Xiaomi:smartphones, tablettes, wearables, trottinettes électriques entre autres. Lieu:Boulogne-Billancourt Type de contrat:Stage de 6 mois Missions principales 1.Support à la gestion des comptes clés •Assister à la mise en œuvre de la stratégie de lancement des nouveaux produits chez nos partenaires. •Aide à l’organisation et la mise en place des plans de visibilité on et off-line. •Analyse et suivi des remontées terrainavec propositions de recommandations 2.Merchandising et visibilité en magasin •Support dans la création de visuels:supports aide à la vente, relais des offres, temps fortspromotionnels. •Aider à la mise en place et au suivi de la visibilité des produits en magasin et en ligne. •Participer à l’élaboration et au suivi des plans de merchandising. •Contribuer à la gestion des supports PLV et s’assurer de leur bon déploiement. 3.Animations commerciales et promotions •Suivre et analyser l’efficacité des promotions en magasin pour optimiser le Sell Out. •Participer à la mise en place d’actions promotionnelles et d’incentives en point de vente. Profil recherché •Étudiant(e) en école de commerce, université ou équivalent, avec une spécialisation en commerce, marketing ou distribution.•Intérêt pour l’univers du Retail et des nouvelles technologies. •Bonne maîtrise du Pack Office (Excel, PowerPoint, Word).•Capacité d’analyse, rigueur et sens du détail. •Bon relationnel et capacité à travailler en équipe. •Force de proposition et proactivité. •Anglais requis. •Une expérience formatrice et enrichissante dans un environnement dynamique et innovant. •Une immersion au sein d’un acteur majeur du secteur de l’High-Tech. •Des missions responsabilisantes et une véritable montée en compétences. •Une opportunité d’interagir avec des acteurs clés du marché et d’évoluer dans un cadre stimulant. Si vous êtes passionné(e) par le Retail et souhaitez acquérir une expérience significative dans un environnement exigeant, envoyez-nous votre candidature dès maintenant !
Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.
- As an AIML Specialist Solutions Architect (SA) in AI Infrastructure, you will serve as the Subject Matter Expert (SME) for providing optimal solutions in model training and inference workloads that leverage Amazon Web Services accelerator computing services. As part of the Specialist Solutions Architecture team, you will work closely with other Specialist SAs to enable large-scale customer model workloads and drive the adoption of AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice. - You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI Infrastructure on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. - You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process. - Candidates must have great communication skills and be very technical and hands-on, with the ability to impress Amazon Web Services customers at any level, from ML engineers to executives. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovations.