On-site in Alpharetta, GA
What does a great Natural Language (NL) Data Scientist do?
Building relationships, executing on commitments, and delivering value are the essential qualities for anyone seeking to deploy AI-enabled applications. These core principles are significant when commissioning cutting-edge technologies into a landscape ripe for implementation. Self-discipline and an innate desire to build applications with high integrity are essential for an NL Data Scientist.
An excellent NL Data Scientist is passionate about software development, making the right decisions to improve their assets and execute the delicate balance of speed-to-market and quality products. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market.
IT is growing explosively; in this organization, a NL Data Scientist will deliver groundbreaking technologies new to the industry. Ongoing self-enrichment and becoming proficient in any IT related subject matter in real-time is a constant and continuous demand.
We’ll help you:
Technologies can often be complex, and we understand that. Our company acknowledges the unique challenges and learning curves that come with this. However, we also recognize the importance of self-enrichment techniques that individuals can use to gain knowledge on topics that are not specific to the company.

As an AI Solution Engineer, you can look forward to:

• Research upcoming technologies
• Application implementation and best practices
• Application monitoring
• Application troubleshooting
• Application scoring
• Data aggregation

You’re the kind of person who:

To best describe this type of person, this list of keywords and phrases should paint the picture:

• Developer at heart
• Passionate
• Effective communicator
• Trustworthy
• Reliable
• Predictable

Required:

• Strong Machine Learning (ML) expertise, with experience in AI-driven solutions.
• Hands-on experience with GPT, OpenAI’s latest models, and cloud AI solutions.
• Experience with voice-related systems, IVR technologies, and telecom integrations.
• Python proficiency is a must
• Understanding of scaling AI/ML solutions in Azure.
• Strong problem-solving skills to tackle complex AI and cloud architecture challenges.
• Experience in both ML engineering and architecture, with an enterprise or DevOps background.
• Seasoned professional who can explain technology from start to finish and discuss structured solution approaches.
• Knowledge of end-to-end technology implementations, from planning to deployment.
• Telecom industry experience is preferred.

Basic qualifications for consideration:

• Language/Framework:
• Python, JS/NodeJS, .NET Framework/Core C#
• Database:
• SQL Server, MongoDB
• Best Practices:
• Documentation, Communication
• Dev Tooling:
• VS Code, Python Notebooks
• Daily Tooling:
• Jira, Confluence, BItBucket, Clarity
• AI/ML:
• NLP/NLU, IBM Watson
• Assistant, Speech to Text, Text to Speech, Studio, Discovery
• Azure Cognitive Services, AWS AI, Google AI
• NLP Best Practices
• Cloud-Native Technologies/Practices
• Previous experience delivering NLP solutions such as:

Please refer the Job description for details