We are seeking a highly skilled and experienced Data Science Engineer to join our US (virtual) team. The ideal candidate will have experience working directly with clients and a proven track record of successfully deploying models in production systems.

This role will play a key role in adapting the Agolo core technology and models to market-specific use cases, and in driving the next generation of our platform to meet those needs.

Innovation is at the heart of what we do at Agolo. You will be joining a world-class team of data scientists to develop state-of-the-art natural language processing solutions to pioneer graph creation, text understanding and summarization.

As a data science engineer at Agolo, you should be able to:

  • Lead the tuning and deployment of NLP-driven solutions from identifying business problems to collecting training datasets, analyzing data, modeling, testing, and validating.
  • Collaborate with product owners and solutions engineers to adapt core capabilities to market and customer-driven requirements.
  • Partner with engineering to design, implement and deploy solutions to the production environments.
  • Participate in client-facing meetings to identify requirements and develop strategies to adapt our capabilities to address customer needs.
  • Research the latest NLP academic papers and prototype ideas that can potentially solve new challenges and enhance existing solutions.
  • Adapt to shifting requirements and deal with ambiguity.
  • Prioritize diversity and inclusion in the workplace.

Required qualifications:

  • 5+ years of experience primarily in NLP and ML. This should include industry experience, working in production environments, not coursework. 
  • Strong foundation in the NLP techniques and approaches, and statistical machine learning. 
  • Hands-on experience with deep learning architectures and frameworks such as TensorFlow or PyTorch. 
  • Strong coding skills in a general-purpose coding language such as Java and Python.
  • Proven experience working directly with clients and understanding their needs.
  • Excellent verbal and written communication skills.

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