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:
IVR
Chat Bot
Interaction Routing
Natural Language Classification
5-7+ years of experience directly related to technical implementation

Preferred qualifications for consideration:

Reporting:
Splunk, SSRS, Cognos, Power BI
Content and Knowledge Repos:
Zoomin, Adobe Experience Manager, SmartGuide
Design Tooling:
Visio, Whimsical
Orchestration:
SSIS, NodeRed
Infrastructure:
OpenShift, Containerization (RedHat), VMs (Windows)

Job Types: Full-time, Contract

Pay: $85.00 - $110.00 per hour

Expected hours: No less than 40 per week

Benefits:

Dental insurance
Health insurance
Vision insurance

Application Question(s):

Are you comfortable working on W2?
Are you legally authorized to work in the United States, US Citizen/Green Card Holder?
How many years of experience do you have in NL/AI?
How many years of experience do you have that is directly related to technical implementation?
How many years of experience do you have in voice biometrics/IVR?
How many years of experience do you have in Machine Learning?
Are you willing to work on 3-5 months contract before converted to full-time?
Do you have experience with Hugging face, Kaggle, Github?
Do you know how to scale AI/ML solutions in Azure?
How many years of experience do you have with Python?
How many years of experience do you have with voice-related AI projects?
How many years of hands-on experience do you have with GPT, OpenAI’s latest models, and cloud AI solutions?
Are you located near or within commutable distance to Alpharetta, GA?

Ability to Commute:

Alpharetta, GA 30004 (Required)

Work Location: In person

Flex Employee Services

Latest Jobs

Natural Language (NL) Data Scientist

Data Scientist