Search the 15 jobs at Patsnap

The Senior Big Data Test Development Engineer is responsible for ensuring the quality and reliability of big data solutions through rigorous testing. This role involves developing testing frameworks, validating data quality, monitoring data pipelines, and analyzing test results. Collaboration with data engineers is crucial for improving data quality and efficiency in testing processes.

The NLP Algorithm Engineer will perform data extraction from multimodal data and build semantic search systems. Responsibilities include research and implementation of LLM technologies and improving existing systems independently, while collaborating effectively within teams.

The Data Engineering Manager will lead and mentor a data engineering team, focusing on designing scalable data solutions, optimizing data processing systems, and ensuring data quality. Collaborating with data analysts, the algorithms team, and architects, the individual will enhance data processing frameworks and elevate product offerings while maintaining and upgrading data production systems.

Lead the development of NLP and ML models for product innovation, manage a team of engineers, and optimize model deployment focusing on large-scale data processing. Oversee initiatives in search engine technology and mentoring team members.

As a Product Manager at Patsnap, you will develop the Core SaaS platform from concept to launch, drive customer-centric innovations, conduct user interviews, and collaborate with global teams to enhance product value. You'll also create Go-To-Market strategies and lead product initiatives, ensuring alignment with business goals and generating ROI.

As a Data Analyst, you will research and analyze large-scale patent data while collaborating with product teams to enhance data SaaS products. You will conduct in-depth patent text analysis and organize data fields to support product development, ensuring timely project completion with high quality.

The Data Engineer will manage patent data operations, design data processing solutions, monitor data quality, optimize systems, and collaborate with data architects to enhance scalability and stability.

As a Computer Vision Expert, you will drive innovation in OCR and image retrieval while implementing multimodal technologies. You'll lead R&D on advanced algorithms, collaborate with teams to integrate solutions, and leverage expertise in state-of-the-art technologies to identify new applications.

The Senior Database Administrator will design, optimize, and manage database infrastructure, selecting suitable solutions like MySQL and PostgreSQL. Responsibilities include database architecture design, performance optimization, capacity planning, and establishing best practices. The role requires insights into emerging technologies and a strong capability in troubleshooting complex database systems.

As a Senior DevOps/SRE Engineer, you will ensure the stability and performance of the business platform, design and implement scalable architecture, oversee security assessments, and lead incident responses. You will collaborate with the operations team for continuous improvement and operational efficiency.

The DevOps Leader will design, optimize, and manage database infrastructure, implementing various database solutions to enhance performance and availability. Responsibilities include capacity planning, optimizing data retrieval systems, and establishing best practices for database operations, while collaborating with teams using advanced database technologies.

The Senior NLP Engineer at PatSnap will utilize natural language processing and machine learning to build models that enhance business outcomes. Responsibilities include analyzing structured and unstructured data, developing NLP systems, and optimizing model performance while collaborating with a multidisciplinary team.

As a Senior Product Manager for Life Sciences, you will drive the product strategy and roadmap, focusing on data propositions, and collaborate with cross-functional teams to enhance product innovation and client relationships.

The Head of R&D will lead the Singapore team, scaling it from 10 to over 40 engineers, while driving R&D initiatives in material science, bio-pharmaceuticals, and NLP. Responsibilities include developing strategies, overseeing technology development, fostering collaboration, and managing R&D operations and budgets.

The Algorithm Test Development Engineer is responsible for designing and implementing AI-related business needs and evaluating algorithms. Responsibilities include corpus construction, algorithm test environment setup, and optimizing testing processes. The engineer will collaborate with data and R&D teams to improve work quality and efficiency.