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Llm Training Jobs in Decatur, GA (NOW HIRING)

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation ... Experience building RAG and agentic architecture solutions and working with LLM-powered ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation ... Experience building RAG and agentic architecture solutions and working with LLM-powered ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation ... Experience building RAG and agentic architecture solutions and working with LLM-powered ...

Warnerbros

Staff Software Engineer

Atlanta, GA

The features this framework produces - ML- and LLM-generated alike - power everything from analytics to training to inference to user-facing rendering. What You'll Do * Design and own infrastructure ...

Acrisure

Red Team Engineer

Atlanta, GA

Assess AI-integrated application features for prompt injection, training data leakage, model manipulation, excessive agency, and insecure output handling (OWASP LLM Top 10). * Contribute to AI red ...

Honeywell

Sr. Director Data & AI Platforms

Atlanta, GA · On-site

$64.75 - $86.50/hr

... model training, serving, monitoring, and feedback loops at enterprise scale. Cloud Data & AI ... Agentic AI & LLM Architecture :Hands-on architecture experience with large language model platforms ...

Honeywell

Sr. Director Data & AI Platforms

Atlanta, GA · On-site

$64.75 - $86.50/hr

... model training, serving, monitoring, and feedback loops at enterprise scale. Cloud Data & AI ... Agentic AI & LLM Architecture :Hands-on architecture experience with large language model platforms ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

Develop GenAI / LLM applications and integrations using foundational models under the guidance of ... ML model training and deployment * Configure and integrate AI solutions into enterprise ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$87K - $188K/yr

Develop GenAI / LLM applications and integrations using foundational models under the guidance of ... ML model training and deployment * Configure and integrate AI solutions into enterprise ...

KPMG

Manager, International Tax Shared Services

Atlanta, GA · On-site

$107K - $238K/yr

Develop your career through a range of multifaceted engagements, formal training, and informal ... Masters in taxation, JD, and/or LLM (with a concentration in tax) preferred; licensed CPA, EA or JD ...

KPMG

Director, AI Strategy Architect

Atlanta, GA · On-site

With a wealth of learning and career development opportunities, a world-class training facility ... Deep understanding of scaling AI-driven solutions, GenAIOps/LLMOps (including LLM evaluation ...

OneTrust

Senior Software Engineer - SRE

Atlanta, GA

$116K - $174K/yr

Develop or integrate LLM-based tools to reduce MTTR and improve alert quality * Apply machine ... and/or training. This role may also be eligible for discretionary bonuses, equity, and/or ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

Experience building pipelines to structure, clean, and store data for model training or real-time ... Experience with LLM application frameworks such as LangChain, LangGraph, and Langsmith or ...

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All JobsLlm Training JobsLlm Training Jobs in Decatur, GA

Llm Training information

See Decatur, GA salary details

$31.2K

$67.1K

$109.3K

How much do llm training jobs pay per year?

As of Jun 27, 2026, the average yearly pay for llm training in Decatur, GA is $67,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $82,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Llm Training position, and why are they important?

To excel in LLM Training, you need a strong background in machine learning, natural language processing (NLP), and computer science, often backed by an advanced degree in a related field. Experience with programming languages such as Python, frameworks like PyTorch or TensorFlow, and familiarity with data annotation tools are essential, along with knowledge of cloud platforms and distributed computing. Strong analytical thinking, effective communication, and the ability to collaborate across interdisciplinary teams set top candidates apart. These skills ensure high-quality model development, efficient project execution, and the ability to adapt to evolving AI technologies.

What types of teams or professionals does an LLM Training specialist typically collaborate with?

Professionals specializing in LLM Training often work closely with data engineers, software developers, domain experts, product managers, and quality assurance analysts. Collaboration is essential for collecting and preprocessing training data, integrating models into products, and ensuring outputs meet business and user requirements. These roles frequently participate in agile project workflows, contribute to cross-functional team meetings, and collaborate on continuous model improvements. Engaging with diverse teams expands your understanding of product goals and helps you deliver robust and reliable language models that align with organizational objectives.

What is an LLM Training job?

An LLM Training job involves developing, fine-tuning, and optimizing large language models (LLMs) to improve their performance and accuracy. This role typically includes data collection, preprocessing, model training, evaluation, and troubleshooting issues related to bias, efficiency, and scalability. Professionals in this field work with machine learning frameworks, large datasets, and computational resources to enhance AI capabilities. They may also collaborate with researchers, engineers, and product teams to deploy models for real-world applications.

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Llm Training jobs near you

Google Cloud Platform Data Scientist

The Avian Consulting LLC

Atlanta, GA • On-site

Other

Posted 3 days ago

Job description

Hi,
Hope you are doing well.
Position: AI/ML Engineer with Google Cloud Platform
Location: Atlanta, GA (Hybrid)
Job Description:
Strategic & Architectural Leadership

  • Define and evolve AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.

  • Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.

  • Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.

  • Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.

  • Provide architectural guidance on ethical, responsible, and compliant AI adoption.

Solution Architecture & Platform Design

  • Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.

  • Design and govern cloud-based data platforms leveraging:

    • Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)

    • AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)

    • Snowflake (data warehouse, data sharing, performance optimization)

  • Architect modern enterprise data architectures, including:

    • Data Lake, Lakehouse, Data Mesh, and Data Fabric

    • Open table/file formats such as Parquet, Iceberg, Delta Lake

    • Medallion architectures (Bronze/Silver/Gold)

  • Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).

  • Define and enforce data quality, metadata, lineage, and access control standards.

AI, ML, and Generative AI Architecture

  • Design and implement AI/ML and GenAI solution architectures from experimentation through production.

  • Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.

  • Lead architecture for Generative AI and Agentic AI, including:

    • LLM integration with tools, APIs, and knowledge bases (RAG patterns)

    • Autonomous and semi-autonomous agent workflows

    • Fine-tuning, prompt engineering, and optimization strategies

  • Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.

  • Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.

Technical Leadership & Collaboration

  • Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.

  • Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.

  • Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.

  • Communicate complex technical concepts clearly to both technical and executive audiences.

Required Qualifications

  • Bachelor s Degree in Engineering or a related technical discipline.

  • 14+ years of hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.

  • 3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.

  • 6+ years of experience designing and scaling enterprise data platforms on Google Cloud Platform, AWS, and Snowflake.

Preferred Qualifications

  • Master s degree or Ph.D. preferred.

  • Demonstrated success leading large-scale, cross-functional data and AI initiatives.

  • Cloud platforms: Google Cloud Platform and AWS (multi-cloud experience strongly preferred)

  • Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures

  • Programming & analytics: Python, SQL, PySpark

  • AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost

  • GenAI/LLM frameworks, vector databases, and graph databases

  • Data engineering tools: Spark, Kafka, Hadoop

  • Containerization and orchestration: Docker, Kubernetes

  • CI/CD and DevOps practices

  • Strong understanding of data modeling, performance tuning, and cost optimization

  • Strong architectural thinking and problem-solving skills

  • Excellent communication and stakeholder management capabilities

  • Ability to influence without authority and operate effectively in matrixed organizations

  • Self-driven, organized, and able to manage multiple priorities

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