NLP Engineer (Data Science) - Atlanta, GA

Position: NLP Engineer (Data Science) - Atlanta, GA
Location: Atlanta, United States
Remuneration: $ 100000.00 - $ 160000.00 per annum
Who is hiring?
If you're an out-of-the-box thinker who loves bringing creative, interdisciplinary ideas on how to deliver a high-quality solution to anyone, anywhere, through AI, I think this opportunity is for you.  My client is a multi-national Data & Analytics Consulting partner that focuses on the Healthcare Industry to provide his clients with the best possible support. 

What will you be doing?

As an NLP Engineer, you will apply your background in machine learning to develop features using state-of-the-art methods in classification, regression, and reinforcement learning for applications in personalization, anomaly detection, forecasting, and so on. You will work with a fun and diverse team to build intelligent software used by millions of people.

Job Duties:
• Use cloud and open source technologies to code and create the new applications
• Develop solution in a highly demanding environment and provide hands-on guidance to other team members.
• Develop machine learning, NLP and/or Statistics, computer science methods to PDF, text Documents to get the structured information out of it.
• Collaborate with product development teams and senior designers to develop architectural requirements to ensure client satisfaction with the product.
• Resolve difficult design and development issues.
• Work with a variety of teams and clients, mentoring junior resources, and effectively handling multiple tasks/deadlines with success.
• Conduct state of the art research in Natural Language Processing / Understanding
• Use research and apply state-of-the-art deep learning techniques to inform key strategic recommendations and decisions
• Advise data scientists and business

• Expertise developing natural language processing/understanding algorithms/models required
• Expertise applying ML techniques to NLP/U problems required including thorough knowledge of the theory and practice of NLP and deep-learning techniques
• Strong experience in other machine learning, or artificial intelligence algorithms/models required
•  Experience in operationalizing and implementing models in production
• Ability to craft new concepts and stay current with academic research.
• Strong experience working with non-technical stakeholders.

Why you shouldn’t miss this opportunity?
Technology(Natural Language Processing (NLP Engineer)), Data Scientist, Data Science, Natural Language Processing (NLP Engineer)

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