Description

SparkCognition is an AI leader that offers business-critical solutions for customers in energy, manufacturing, finance, aerospace, defense, and security. A highly awarded company recognized for cutting-edge technology, SparkCognition develops AI-powered, cyber-physical software for the safety, security, reliability, and optimization of IT, OT, and the Industrial IoT. We deliver value to our customers by providing solutions that address complex customer problems.

We are looking for a leader for our data science team focused on Natural Language Processing (NLP). This person should have considerable experience with both computational linguistics and software engineering, along with an interest in applying state-of-the-art NLP methods to developing solutions to real-world problems.

Responsibilities:

• Lead a team of data scientists and machine learning engineers in the development of NLP applications
• Lead/direct the development of new algorithms and approaches to practical NLP problems
• Work with engineers to integrate new technology into core applications
• Work with professional services to apply core capabilities to customer solutions
• Coordinate and collaborate with the Product Manager for the DeepNLP product

Qualifications

• Masters Degree or higher with a focus on NLP and software development
• 8+ years of experience in developing business applications using NLP technologies
• Experience in Python and NLP/ML toolkits (e.g. scikit-learn)
• Experience in information retrieval technologies (e.g. SOLR)
• Experience in applying deep learning techniques to unstructured data
• Strong interpersonal and leadership skills
• Independent thinking and desire to learn new techniques/technologies

The ideal candidate will have experience

• Developing algorithms in a distributed environment (e.g. Dask, Hadoop, Spark)
• Experience using deep learning frameworks (e.g. PyTorch, TensorFlow)
• Experience working with documents spanning various business domains
• Experience working with text in different languages
• Experience leading a team comprised of computational linguists, data scientists, and programmers