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Drift Jobs in South Fulton, GA (NOW HIRING)

Evaluate AI outputs for ambiguity, inconsistencies, meaning drift, and potential biases. * Apply relevant style guides and maintain consistency in tone, terminology, punctuation, capitalization, and ...

Senior Principal AI/ML Engineer

Atlanta, GA ยท On-site

$120K - $166K/yr

Build and maintain ML pipelines using MLOps tooling - ensuring reproducibility, model versioning, drift monitoring, and CI/CD integration. AI-Driven Insights & Analytics * Analyze large, complex ...

Senior Security Engineer, IAM

Atlanta, GA ยท On-site

$110K - $151K/yr

Design governance for non-human identities (service accounts, workloads, secrets) with automated drift detection and policy-as-code enforcement. Detection, Response & Threat Context * Lead ...

Define the KPIs that matter - provisioning speed, compliance drift, patch latency, device trust posture - and build the telemetry and automation to track, report on, and continuously improve them.

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Drift information

See South Fulton, GA salary details

$8

$21

$30

How much do drift jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for drift in South Fulton, GA is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $23.27 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 job categories do people searching Drift jobs in South Fulton, GA look for?

The top searched job categories for Drift jobs in South Fulton, GA are:

What cities near South Fulton, GA are hiring for Drift jobs?

Cities near South Fulton, GA with the most Drift job openings:

Machine Learning Engineer III - AI/ML Product Engineering

4pconsultinginc

Atlanta, GA โ€ข On-site

Contractor

Re-posted 2 days ago


Job description

Position:         Machine Learning Engineer III – AI/ML Product Engineering

Location:        Atlanta, GA

Duration:        5 Months
Client:            Southern Company Services

 

Only W2 Candidates

Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies.

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform.

Key Responsibilities

  • Design and build modular, reusable AI components and services.
  • Develop scalable RAG solutions using structured and unstructured data.
  • Engineer multi-agent systems for task coordination, workflow automation, and decision support.
  • Build transcription and NLP pipelines for customer-interaction analysis.
  • Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks.
  • Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks.
  • Integrate Databricks for data ingestion, feature engineering, experimentation, and model development.
  • Develop reusable libraries, APIs, templates, and engineering patterns.
  • Partner with MLOps, DevOps, data engineering, architecture, and product teams.
  • Implement monitoring for model performance, data drift, system usage, and operational reliability.
  • Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements.
  • Provide technical guidance to teams adopting shared AI products and components.

Required Qualifications

  • Strong experience developing and deploying production-grade AI and machine learning solutions.
  • Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP.
  • Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning.
  • Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain.
  • Experience deploying scalable models and AI services in cloud environments.
  • Knowledge of APIs, software engineering practices, model monitoring, and MLOps.
  • Experience working with structured and unstructured datasets.
  • Strong communication, collaboration, analytical, and problem-solving skills.

Preferred Qualifications

  • Experience with Databricks, vector databases, embeddings, and semantic search.
  • Experience building reusable enterprise AI platforms or shared AI services.
  • Knowledge of model evaluation, data drift, observability, and responsible AI.
  • Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment.
  • Utility, energy, or regulated-industry experience is preferred.