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Machine Learning Nlp Jobs in Georgia (NOW HIRING)

Machine Learning, NLP, Deep Learning Required Qualifications * 10+ years of experience in software development, architecture, cloud infrastructure, and modern technologies. * Proficiency in ...

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data preprocessing, model training, and ...

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data preprocessing, model training, and ...

Knowledge of Generative AI, LLMs, NLP, and MLOps frameworks. * Experience deploying machine learning models in production environments. * Familiarity with Git, CI/CD pipelines, Docker, and Kubernetes.

Senior ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... Machine Learning Engineering with a strong focus on NLP. * Proven experience with language model selection, fine‑tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

... machine learning, NLP, or automation to drive measurable outcomes. • Fluency in payer‑provider interoperability, data exchange standards (HL7, FHIR), and familiarity with key ecosystem players ...

... machine learning, NLP, or automation to drive measurable outcomes. • Fluency in payer‑provider interoperability, data exchange standards (HL7, FHIR), and familiarity with key ecosystem players ...

Showing results 41-60

Machine Learning Nlp information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do machine learning nlp jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning nlp in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a machine learning NLP?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What does a machine learning NLP do?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning NLP position?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

Are machine learning NLP engineers in demand?

Machine learning NLP engineers are in high demand due to the growing use of natural language processing in applications like chatbots, virtual assistants, and data analysis. Companies seek professionals skilled in deep learning frameworks, Python, and NLP tools to develop and improve AI language models, making this a strong career field with positive job growth prospects.
Infographic showing various Machine Learning Nlp job openings in Georgia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 23% Part Time, and 6% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Senior Technical Lead

Atlanta, GA • On-site

Ubertal Inc
IT Services • 201 - 500 employees

Contractor

Re-posted 17 days ago


Job description

Job Title: Senior Technical Lead

Location: Atlanta, GA (Hybrid – onsite required as directed)
Job Type: Contract | Full-Time
Start Date: November 24, 2025
End Date: June 30, 2026
 

About the Role

Seeking a Senior Technical Lead with over 10 years of experience in modern web, cloud, and software development technologies to guide technical direction, architecture, and delivery for complex modernization and integration projects. The role involves hands-on leadership, solution design, cloud infrastructure oversight, DevOps collaboration, and team management across a multi-disciplinary technical team.

Key Responsibilities
  • Define and communicate technical vision and strategic direction for applications and integrations.

  • Review and approve architecture, code, deployment, and security strategies for scalability and maintainability.

  • Lead solution design, translating business requirements into modular, cloud-ready architecture.

  • Guide technology teams in best practices for design, documentation, and coding standards.

  • Oversee cloud infrastructure setup and management (AWS, EKS, EC2, VPCs, IAM, ALB, CloudWatch).

  • Collaborate with DevOps for CI/CD pipeline definition and maintenance (GitHub Actions, Helm, Kubernetes).

  • Promote secure deployment practices (Secrets Manager, Config Maps, Ingress rules).

  • Lead authentication and authorization integrating technologies (Okta SAML 2.0, Keycloak).

  • Oversee database schema design, optimization, and integration (PostgreSQL, Oracle SQL).

  • Supervise frontend, backend, integration, and infrastructure teams; foster cross-functional collaboration.

  • Champion containerization and orchestration (Docker, Kubernetes).

  • Ensure compliance with organizational and security standards across all APIs, integrations, and codebase.

  • Manage project oversight, sprint planning, architectural reviews, and process improvement.

  • Support technology adoption of AI/ML concepts and generative AI.

  • Identify technical debt and drive corrective actions to improve code quality and maintainability.

Technology Oversight Stack
  • Frontend: Angular v17, Angular Material, TypeScript, RxJS, HTML, CSS, SASS

  • Backend: NestJS v10, TypeORM, REST APIs

  • Database: PostgreSQL, Oracle SQL

  • Testing: Jest for frontend/backend

  • Integration/Middleware: Dell Boomi, MuleSoft

  • Containerization: Docker Engine, Docker Compose

  • Orchestration: Kubernetes, Docker Swarm

  • Cloud: AWS (EKS, EC2, VPC, IAM, ALB, CloudWatch)

  • Authentication: Okta SAML 2.0, Keycloak

  • Languages: Java 17+, Python

  • AI/ML: Machine Learning, NLP, Deep Learning

Required Qualifications
  • 10+ years of experience in software development, architecture, cloud infrastructure, and modern technologies.

  • Proficiency in programming languages, web frameworks, APIs, and cloud-native architectures.

  • Experience with Agile, Waterfall, and hybrid project management methodologies and tools.

  • Deep knowledge of database administration, system and network architecture.

  • Proven track record leading teams through technical challenges and delivering quality solutions.

  • Excellent leadership, communication, analytical, and problem-solving abilities.

  • Detail-oriented and adaptable to fast-paced environments with multiple priorities.

Key Skills

Technical Leadership | Solution Architecture | Cloud Infrastructure | DevOps | Modern Web Frameworks | Database Design | Agile Project Management | Containerization | Security | Integration | AI/ML Concepts