Senior Knowledge Architect

  • Company:
    BASF
  • Location:
  • Salary:
    negotiable / month
  • Job type:
    Full-Time
  • Posted:
    2 days ago
  • Category:
    Architecture

Description

At BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world’s leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation.

We provide a challenging and rewarding work environment with a strong emphasis on process safety, as well as the safety of our employees and the communities we operate in and are always working to form the best team—especially from within, through an emphasis on lifelong learning and development. 
And we are constantly striving to become an even better place to work. BASF has been recognized as one of Canadas Best 100 Employers in 2019. Come join us on our journey to create solutions for a sustainable future! Senior Knowledge Architect (2002908) Where the Chemistry Happens…
Design and implement digital knowledge solutions for R&D and business using on state-of-the artdeep learning for natural language processing and knowledge graphs based on ontologies.Build and maintain relationship to key AI/NLP academics and companies in Canada Formula for Success: You Will…

  • Continuously develop digital capabilities in NLP and knowledge graphs and the related architecture, evaluate and develop methods and tools esp. using state-of-the-art deep learning approaches.
  • Work with our internal partners in R&D and business to identify demand, design and implement digital solutions in data and knowledge management, including novel approaches for unsolved problems.
  • Support community around the KDC NLP and Knowledge and actively contribute to build up capabilities and skills in BASF
  • Qualifications

    Ingredients for Success: What We Look for in You…

  • Degree/PhD in mathematics, computer science, bioinformatics or physics
  • Deep learning for natural language processing and/or knowledge graphs at expert level with sound experience in latest architectures, including practical application at scale
  • Information retrieval, knowledge graphs and semantic technologies
  • Integration of machine learning approaches into production systems
  • Sound programming skills in Python and Java to use state-of-the art machine learning frameworks, graph and document databases (like Neo4J, MongoDB) and search technology (like elasticsearch) to create scalable state-of-the-art applications.
  • Large-scale and industry grade systems operated in cloud environments
  • Excellent organizational, communication and analytical skills working in a globally distributed team and gained experience in agile projects
  • Operate according to the Agile development process and strongly believe in the DevOps approach to delivering successful IT solutions. Our focus is on high-quality content delivered in time using iterative development with regular milestone demos to the business.
  • You believe that business value is delivered by Agile top engineers working together in high performing Dev/Ops teams, according to our Agile frameworks