INNO-APAC is a leading provider of technology innovation solutions, serving Government, Industry Parks, and Corporate Enterprises. Our expertise lies in delivering a comprehensive set of services tailored to meet the diverse needs of our clients.

Located in the vibrant city of Shanghai, we are strategically positioned to connect technology innovation resources across the Asia-Pacific region and around the world.

Job Details:

Responsibilities:

Position:

1. Leading Technology Strategy:

• Establish a company's long-term technology development strategy in the field of artificial intelligence, plan a technology R&D roadmap by combining industry trends and company business goals, and ensure that the company remains competitive on the front lines of AI technology. For example, decide detailed directions such as computer vision, focusing on natural language processing, and strengthening learning.

• Keep an eye on global AI research trends, regularly assess the potential impact of new technologies and algorithms on the company's business, and adjust the direction of its strategy in a timely manner. For example, when Generative Counter Networks (GANs) emerge, they determine whether they can contribute to a company's image creation or data enhancement business.

2. Core Technology Research and Development:

• Participating in solving core AI technology challenges directly leads the team to break through bottlenecks in algorithms and improve model performance. For example, it optimizes the training efficiency of deep learning models, reduces energy consumption, and improves key metrics such as speech recognition accuracy and image classification precision.

• Design and build the company's AI technology platform structure to ensure the scalability, stability and efficiency of the system, adapt to vast data processing and complex model training needs, and realize the transition from lab prototypes to industrial-grade applications.

3. Enhance your product innovation capabilities:

• Working closely with our products and business teams, we either take AI technology deep into the company's existing products or foster new smart products to realize smart upgrades in our products. For example, building customized recommendation engines on e-commerce platforms and adding smart diagnostic capabilities to medical equipment.

• By providing innovative solutions based on AI technology, it helps companies pioneer new markets and discover new business growth points. For example, it leverages smart predictive maintenance technology to reduce equipment failure rates and improve operational and maintenance efficiency for industrial manufacturers.

4. Team Management Guidance:

• Forming, training, and guiding high-quality AI R&D teams, including experts from various fields such as algorithm engineers, data scientists, and engineers, and developing rational talent development plans to improve the overall skill level of the team.

• Establish efficient team cooperation mechanisms, create a good research atmosphere, promote knowledge sharing and exchange, coordinate interdepartmental cooperation to ensure smooth implementation of AI projects, and break down barriers between technology R&D and business execution.

5. Foreign Cooperation Exchange

• Participate in international and domestic AI academic exchange activities on behalf of the company, increase the company's technological influence in the industry, and build a technology brand image. For example, deliver a speech at a top-notch AI academic conference or display the company's latest research achievements.

• Establish industry-academic cooperation with universities and scientific research institutes, introduce external cutting-edge technologies and excellent talent resources, collaborate on scientific research projects, accelerate the transformation of technological performance and promote the overall development of industrial technology.

Qualifications:

1. a deep academic background

• In general, you should have a doctorate in related majors such as computer science, mathematics, statistics, and electronic engineering, graduate from famous universities at home and abroad, systematically acquire core AI theoretical knowledge, and conduct in-depth research in fields such as machine learning, deep learning, and reinforcement learning.

• A certain number of high-quality academic papers have been published, and papers have been published in top-notch international AI academic conferences or journals such as NeurIPS, ICML, CVPR, and ACL, demonstrating their contribution and mastery in state-of-the-art academic research.

2. Outstanding Technology:

• He is well-versed in various AI algorithms and models, and he can skillfully leverage mainstream deep learning frameworks such as TensorFlow and PyTorch to conduct model development and training. He has hands-on experience throughout the entire process, from model selection, design, optimization to deployment.

• It has a deep understanding of large-scale data processing and distributed computing, and can solve real-world engineering problems such as data scarcity and model overfitting. You can get used to the use of cloud computing platforms such as AWS, Azure, Alibaba Cloud, and more, and effectively combine AI technology with cloud services.

3. sharp scientific research insight

• Keep an eye on the latest research trends in AI to quickly capture potential new technologies and new methods, accurately determine the value and viability of applications to the company's business, and deploy R&D projects in advance to drive the flow of technological innovation.

• Explore the unknown scientific research spirit, challenge traditional thinking, present innovative technological thinking and solutions, and find breakthroughs in the face of complex technological challenges.

4. Outstanding Team Leadership:

• With more than five years of team management experience, familiarity with the composition, division of labor, and incentive mechanisms of the technical team, rational allocation of work based on the characteristics of the team members and unleash the potential of the staff to build a high-performing AI R&D team.

• In addition to having good communication and coordination skills and in-depth discussion of professional issues with technicians, it clearly explains management and business departments, technical planning and project progress, promotes collaboration between departments, and ensures smooth execution of projects.

5. Rich industry experience:

• With more than 8-10 years of experience in AI-related industries, understanding the work processes and hardships of various industries such as the Internet, finance, healthcare, manufacturing, etc., AI technology can be accurately connected to industrial application scenes to realize deep convergence of technology and work.

• It's best to have the experience of successfully leading a large AI project, familiarizing yourself with product iteration cycles and learning how to manage the project, so you can find a balance between technological advancement and commercial viability.

Benefit:

Salary: RMB100,000-200,000 per month

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