We are assisting our client to look for the following position
Roles and Responsibilities
Drive innovation projects in the field of artificial intelligence and cognitive process automation, focusing natural language processing (NLP), machine learning based dialog systems, knowledge representation and semantic technologies, smart digital assistants.
Key responsibilities include researching, developing and implementing innovative NLP techniques.
Provide architectural guidance on transitioning prototypes to high-performance production models.
Desired Candidate Profile
Graduate degree (MS or PhD) in (Business) Informatics, Computer Science, Mathematics, Engineering, Computational Neuroscience or Physics with specialization in one or more - speech recognition, natural language processing, machine translation, time series analysis, signal processing, or machine learning.
Deep knowledge in the field of Natural Language Processing and related technologies, including NLU, NLG, machine learning based chatbots, question-answering systems and digital assistants. • 2+ years (with PhD) or 5+ years of professional or academic experience in related fields.
Experience with large datasets and hands-on experience with distributed systems is a plus. • Familiar with NLP frameworks i.e. NLTK, Stanford CoreNLP, OpenNLP
Knowledge in one or more machine learning frameworks (Tensorflow, Caffe, Theano/Keras, Scikit-Learn, Spark/Mlib, R etc.)
Familiarity with programming languages such as C/C++, Python, Java or Perl.