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Senior Natural Language Processing Engineer Jobs in Georgia

Reply

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services ...

Newell Brands

The Sr. Director, Outdoor, Recreational and Commercial Insights delivers insightful, actionable ... Applies natural language processing and generative AI to analyze open-ended survey responses ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$179.09/hr

Job Title Data Scientist, Senior Overview EverWatch is a government solutions company providing ... Experience with natural language processing, text mining, or machine learning techniques * TS/SCI ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Job Title Data Scientist, Senior Overview EverWatch is a government solutions company providing ... Experience with natural language processing, text mining, or machine learning techniques * TS/SCI ...

QGenda

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... are suitable for natural language processing, predictive analytics, and other AI-driven ...

QGenda

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... are suitable for natural language processing, predictive analytics, and other AI-driven ...

OVA.Work

ALM engineer

Alpharetta, GA · On-site

Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and ... Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • ...

Sumeru

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

You will also contribute to LLM-based solutions that enable natural language querying of CDP data ... Strong SQL skills and experience with Spark or Dask for distributed processing * Familiarity with ...

OVA.Work

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and ... Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • ...

Infosys

Senior Technology Architect

Atlanta, GA · On-site

Drive adoption of emerging technologies including Generative AI, Natural Language Processing (NLP ... Mentor architects, developers, analysts, and engineering teams. * Drive adoption of reusable ...

Everwatch

Data Scientist, Senior

Augusta, GA

$62.50 - $69.72/hr

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI clearance * Bachelor's Degree in a STEM field and 10+ years of experience in Data Science, or Master ...

Noblesoft Technologies

Senior Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

... designing, and programming applications to operate in AWS environments. ● Experience in ... natural language processing. ● Evaluate and recommend AI platforms, frameworks, and tools (e.g ...

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Senior Natural Language Processing Engineer information

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Georgia?

The most popular types of Natural Language Processing Engineer jobs in Georgia are:

What are popular job titles related to Senior Natural Language Processing Engineer jobs in Georgia?

For Senior Natural Language Processing Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Senior Natural Language Processing Engineer jobs in Georgia look for?

The top searched job categories for Senior Natural Language Processing Engineer jobs in Georgia are:

What cities in Georgia are hiring for Senior Natural Language Processing Engineer jobs?

Cities in Georgia with the most Senior Natural Language Processing Engineer job openings:

Senior Natural Language Processing Engineer jobs near you

Senior AI Engineer

Reply

Atlanta, GA

$100K - $138K/yr

Full-time

Re-posted 11 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace. Through the expertise of their people and power of Microsoft technologies, they provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences.  Their innovative strategies and solutions securely and rapidly transform the way their clients do business. 
 
As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and then deliver projects for customers as part of a team. This is a hands-on role involving consulting, leading, coding, and delivering sophisticated AI solutions. Projects will span from workshops to comprehensive enterprise-level deployments.
Responsibilities
  • Implementing AI solutions through people, processes, and technology
  • Facilitate customer education and ideation workshops focused on developing use cases and implementing modern AI/ML solutions.
  • Consulting with stakeholders to identify opportunities for AI integration, advising on best practices, and tailoring AI strategies to meet business objectives
  • Defining project requirements clearly, designing robust solution architectures, and ensuring alignment with business goals and technical capabilities
  • Leading the development and implementation of AI-driven solutions, managing the entire AI project lifecycle, including data collection, model training, deployment, and monitoring. Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI technologies is essential
  • Facilitating cross-functional collaboration, working closely with technical and non-technical teams to deliver outstanding service to customers and ensure the successful integration of AI solutions into business processes
  • Staying updated on the latest advancements in AI and Generative AI, and advising teams on integrating cutting-edge techniques, to enhance project outcomes and drive innovation
 
Minimum Requirements
  • Bachelor’s degree in computer science, artificial intelligence, data science, or a related field
  • Proven client facing experience, translating complex requirements into actionable AI solutions that meet business objectives
  • 5 years of professional software engineering experience in Azure and Python
  • 3 years of experience with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc.
  • 2 years demonstratable experience with Azure AI solution design and production delivery,highlighting proficiency in natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services (OpenAI, Speech, Vision, etc.) using tools like Azure AI Foundry, prompt flow, and Copilot Studio.
  • Production experience with Azure AI platform, and the implementation of enterprise solutions
  • Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI practices, and managing an organization’s models
Preferred Qualifications
  • Professional software engineering experience in C#.net
  • Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Developing cloud software services and an understanding of design for scalability, performance, and reliability in Azure
  • Ability to support go-to-market content with technical support and present AI related research to customers and at events
  • Experience with DevOps tools and processes such as Azure DevOps, GitHub, Docker and Kubernetes
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.