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Drift Jobs in Decatur, GA (NOW HIRING)

Implement monitoring for model performance, data drift, and usage metrics. Company Description We provide supplemental employees to the region's most sought after power projects. We credit our ...

GCP Cloud Security Engineer

Alpharetta, GA · On-site

$54.50 - $72.75/hr

... drift management status Working with resource owners to remediate configuration drifts Defining priorities, coordinating with peer teams, and leading continuous improvement efforts of security tools ...

Implement logging, tracing, and monitoring across the full stack; surface evaluation metrics, failure modes, and drift signals in the product UI; enable feedback collection from users to improve ...

Quantify model performance: precision, recall, calibration, inter-rater agreement against human-verified ground truth, drift detection across releases. * Partner with engineering to design prompt ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Implement model monitoring, drift detection, and retraining pipelines. * Leverage cloud ML platforms (AWS SageMaker, Databricks ML) for experimentation and scaling. * Explore and evaluate emerging ...

Validate model output and monitor for model drift in production * Create test datasets that cover edge cases and ensure model robustness Quality Strategy & Collaboration * Define and implement QA ...

... drift in productionCreate test datasets that cover edge cases and ensure model robustness Quality Strategy & CollaborationDefine and implement QA best practices and quality metrics for AI ...

Showing results 41-60

Drift information

See Decatur, GA salary details

$8

$21

$31

How much do drift jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for drift in Decatur, GA is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $23.94 per hour, depending on experience, location, and employer.

What is a drift?

A Drift, in most professional contexts, refers to a role associated with the company Drift, which specializes in conversational marketing and sales software. People working at Drift typically help businesses engage website visitors through chatbots, real-time messaging, and automation tools to accelerate sales and improve customer experience. Their responsibilities may include software development, customer support, sales, marketing, or product management, all focused on enhancing digital conversations. Drift employees work to create seamless communication between businesses and their customers, often using AI-driven solutions. The specific duties depend on the exact position within the company.

What are the key skills and qualifications needed to thrive as a drift driver?

To thrive as a Drift Driver, you need advanced car control skills, in-depth knowledge of vehicle dynamics, and experience in motorsport, often supported by a valid racing or motorsport license. Mastery of high-performance vehicles, familiarity with safety gear, and understanding of telemetry systems are typically required. Quick decision-making, concentration under pressure, and strong communication with pit crews are standout soft skills in this role. These abilities ensure safety, competitive performance, and effective teamwork in the fast-paced, high-risk environment of drift racing.

What are some typical challenges faced by drift operators, and how can they effectively address them?

Drift Operators often encounter challenges such as monitoring complex underground mining equipment, ensuring safety protocols are strictly followed, and responding quickly to unexpected issues like equipment malfunctions or hazardous conditions. Effective communication with team members and supervisors is crucial, as is staying current with safety training and operational procedures. Proactively identifying potential hazards and being adaptable in problem-solving are key strategies to excel in this role.

What is the difference between Drift vs Chatbot Developer?

AspectDriftChatbot Developer
Primary RoleDesigns and manages live chat and conversational marketing toolsDevelops and programs chatbots for various platforms
Required SkillsCustomer engagement, marketing automation, basic codingProgramming, AI, natural language processing
Work EnvironmentMarketing teams, SaaS companies, customer supportDevelopment teams, AI firms, tech companies
CertificationsMarketing automation, CRM toolsProgramming languages, AI certifications

Drift focuses on live chat and conversational marketing tools used primarily in sales and customer support, while Chatbot Developers create AI-driven chatbots across platforms. Both roles require technical skills, but Drift roles lean more toward marketing automation, whereas Chatbot Developers focus on AI programming and natural language processing.

What are popular job titles related to Drift jobs in Decatur, GA?

For Drift jobs in Decatur, GA, the most frequently searched job titles are:

What cities near Decatur, GA are hiring for Drift jobs?

Cities near Decatur, GA with the most Drift job openings:

Infographic showing various Drift job openings in Decatur, GA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,441 per year, or $21.8 per hour.

LLM Engineer (GCP Preferred)

Krest Global Solutions

Atlanta, GA • Hybrid

$58 - $60/hr

Contractor

Re-posted 21 days ago


Job description

Job Title: LLM Engineer (GCP Preferred)

Work Time Zone: EST

Rate: $60/hour on 1099/C2C

Location: Atlanta, GA (Hybrid – 3 days on-site)

We are seeking a highly skilled and motivated LLM Engineer to design, build, and deploy advanced large language model (LLM) solutions that enhance procurement workflows and drive business automation. The ideal candidate will have a strong background in natural language processing, deep learning, and AI agent design, with hands-on experience fine-tuning foundation models and deploying them on Google Cloud Platform (GCP).


Key Responsibilities:

  • AI Agent Development
    Design and implement LLM-powered AI agents that optimize and automate procurement-related tasks, ensuring reliability, explainability, and business alignment.
  • Model Fine-Tuning & Optimization
    Fine-tune foundation models for domain-specific tasks, focusing on accuracy, latency, and scalability. Apply techniques such as parameter-efficient fine-tuning, prompt tuning, and adapter training.
  • Pipeline Engineering
    Build and maintain robust, production-grade pipelines for data ingestion, model training, evaluation, and inference using GCP services and open-source tools.
  • Prompt Engineering & RAG Implementation
    Leverage prompt engineering and Retrieval-Augmented Generation (RAG) to improve contextual accuracy and relevance of model outputs.
  • Stakeholder Collaboration
    Work closely with procurement experts, data engineers, and business leaders to gather requirements, align goals, and deliver impactful AI solutions.
  • Model Evaluation & Monitoring
    Establish evaluation metrics and monitoring tools to track model performance, accuracy, bias, and drift in real-world applications.
  • Integration & Deployment
    Collaborate with cross-functional teams to integrate LLMs into existing systems, leveraging LangChain, LangGraph, and GCP AI tools like Vertex AI for seamless deployment.

Must-Have Qualifications:

  • Master’s degree in mathematics, Physics, Computer Science,
  • 7 – 10 + years of experience in NLP, LLM development, or AI-driven automation.
  • Expertise in Python and deep learning frameworks such as PyTorch and TensorFlow.
  • Proficiency with LangChain, LangGraph, Hugging Face Transformers, and LLM model hubs.
  • Experience fine-tuning large-scale models and optimizing for real-time inference.
  • Solid understanding of vector databases, knowledge graphs, and embedding techniques.
  • Strong communication skills with the ability to translate complex AI concepts to non-technical stakeholders.
  • Proven experience working with Google Cloud Platform (GCP), especially with services like Vertex AI, BigQuery, and Cloud Functions.
  • Familiarity with multi-agent systems and reinforcement learning is a strong plus.