Search the 11 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.

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.

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.

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 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 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.

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.

As Project Manager for IP Migrations, you will be responsible for overseeing the migration of search queries, alerts, and folder structures for enterprise clients. You'll define project scope, develop migration plans, ensure project completion within timelines and budgets, and collaborate with internal teams for service delivery.