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Recently posted jobs
Artificial Intelligence • Software
The role involves domain data extraction from multimodal data, building semantic search systems, and implementing LLM-related technologies. The candidate will read research papers, design experiments, and improve existing systems independently, aligning large models with business applications.
Artificial Intelligence • Software
The Senior Big Data Test Development Engineer ensures the quality and reliability of big data solutions through testing and validation, develops testing frameworks, validates data quality, monitors data workflows, and collaborates with data engineers to enhance data accuracy.
Artificial Intelligence • Software
The Algorithm Test Development Engineer will design and implement AI-related evaluations, construct test environments, and establish evaluation systems for algorithms. The role involves collaborating with data and R&D teams to enhance testing processes, data collection, and efficiency. Proficiency in programming and automated testing frameworks is required, along with experience in AI product testing and quality evaluation.
Artificial Intelligence • Software
The Senior Product Marketing Manager will drive the go-to-market strategies for the Life Sciences product suite, ensuring successful product launches and alignment across teams. Responsibilities include developing marketing assets, conducting market analysis, enabling internal teams, and influencing product direction through customer insights.
Artificial Intelligence • Software
The Senior Product Manager will develop and execute product strategy, define the product roadmap, and set priorities. They will conduct market research, work with R&D to define product features, write PRDs, coordinate teams for product delivery, analyze user feedback, and develop marketing strategies for promotion.
Artificial Intelligence • Software
The Senior NLP Engineer will develop and implement advanced NLP and machine learning models, focusing on LLMs and dataset construction. Responsibilities include designing custom NLP systems, deploying and optimizing ML models, enhancing search engines, and collaborating with teams on complex problems related to NLP technologies.
Artificial Intelligence • Software
The Sales Development Representative will be the first point of contact for potential clients, managing lead generation via calls, emails, and social media. Responsibilities include tracking leads with CRM systems, participating in sales training, and collaborating on strategic sales plans.
Artificial Intelligence • Software
As a Sales Development Representative, you will drive new business development by establishing relationships with prospective clients, supporting an Account Executive, and identifying sales leads through creative research techniques. Your role is pivotal in showcasing Patsnap's innovative solutions and building meaningful connections that lead to successful sales outcomes.
Artificial Intelligence • Software
The Senior DevOps Engineer / SRE will ensure the high availability and performance of the platform, design scalable architectures, lead optimization initiatives, and manage security. They will collaborate with teams, act as incident commander, and foster continuous improvement in technology operations.
Artificial Intelligence • Software
The Patent Content Analyst will research and analyze patent data, collaborate with product teams to develop data SaaS products, and create standardized methods for data extraction. Responsibilities include planning analysis objectives and ensuring project completion with high quality.
Artificial Intelligence • Software
As a Sales Enablement Specialist, you will enhance the skills of sales teams by designing and delivering training programs, creating sales content, and collaborating with various departments to improve sales effectiveness. You will also assess the impact of training initiatives and refine sales enablement tools.
Artificial Intelligence • Software
The Senior Data Engineer at PatSnap will manage patent data operations, analyze new data requirements, monitor data quality, optimize data processing frameworks, and collaborate with data architects to enhance system scalability.