Join our passionate Analytics Research team and be the AI researcher behind industry-leading Customer Engagement solutions. Leverage your NLP expertise to design and evolve cutting-edge tools for our interaction analysis. Empower organizations with actionable insights, helping them optimize processes, improve performance, and create exceptional customer experiences.
Responsibilities:
Research and development of state-of-the-art NLP based solutions.
Pushing the state-of-the-art NLP based capabilities forward, to provide analytical solutions to product users.
Research and problem solving for customer engagement projects.
You will be engaged and working on other Interaction Analytics agendas including big data algorithms and machine learning technologies.
Requirements:
Lets Talk about who we are looking for:
M.Sc.\Ph.D. in Computer Science or equivalent.
At least 2-3 years of industry experience.
Strong knowledge of machine learning technologies, Deep Learning, AI.
Experience in (general) deep learning frameworks such as TensorFlow and Pytorch.
Proven experience and deep understanding of NLP Technologies.
Problem solving and algorithms development.
Strong programming skills. Ability to deliver end to end algorithmic solutions from experiment to production.
Experience in conducting experiment, performing analysis and reporting results.
Ability to collaborate with bigger teams and excellent communication skills.
Lets Talk about who we are looking for:
M.Sc.\Ph.D. in Computer Science or equivalent.
At least 2-3 years of industry experience.
Strong knowledge of machine learning technologies, Deep Learning, AI.
Experience in (general) deep learning frameworks such as TensorFlow and Pytorch.
Proven experience and deep understanding of NLP Technologies.
Problem solving and algorithms development.
Strong programming skills. Ability to deliver end to end algorithmic solutions from experiment to production.
Experience in conducting experiment, performing analysis and reporting results.
Ability to collaborate with bigger teams and excellent communication skills.
Nice to Have:
Ability to deliver end to end algorithmic solutions from experiment to production, and high understanding and diving into existing code.
Experience with Windows and Linux, cloud-based environment (AWS, Azure, etc.)
This position is open to all candidates.
