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Aiml Engineer Jobs in Georgia (NOW HIRING)

United Airlines

GCP/Python Senior Data Engineer

Atlanta, GA

$110K - $132K/yr

... AIML workloads Key Responsibilities Cloud Data Platform Engineering Design implement and maintain scalable cloud infrastructure on Google Cloud Platform GCP Develop Infrastructure as Code IaC ...

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Aiml Engineer information

What is a 900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer or research scientist roles, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a competitive industry environment.

What do AIML engineers do?

AIML engineers develop and implement artificial intelligence and machine learning algorithms using AIML (Artificial Intelligence Markup Language) to create chatbots, virtual assistants, and other AI-driven applications. They often work with natural language processing tools, data analysis, and scripting to design conversational systems that can understand and respond to user inputs effectively.

Which 3 jobs will survive AI?

AI engineers and specialists in machine learning, data science, and cybersecurity are expected to have strong job prospects as these fields require complex problem-solving, domain expertise, and ongoing adaptation. Roles involving creative thinking, emotional intelligence, and human interaction, such as healthcare professionals and educators, are also likely to remain in demand. Continuous learning and technical skills will be essential for these careers to adapt to AI advancements.

What is the difference between Aiml Engineer vs Data Scientist?

AspectAiml EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related; knowledge of AIML, programmingBachelor's or higher in CS, Statistics, or related; expertise in data analysis, programming
Work EnvironmentDeveloping AIML chatbots, virtual assistants, AI applicationsAnalyzing data, building predictive models, data visualization
Industry UsageTech companies, AI startups, customer service automationFinance, healthcare, marketing, tech firms

While Aiml Engineers focus on creating AIML-based chatbots and AI applications, Data Scientists analyze data to derive insights and build models. Both roles require programming skills and work in tech-driven environments, but Aiml Engineers specialize in AIML language and chatbot development, whereas Data Scientists work with broader data analysis and machine learning techniques.

What engineers make $500,000?

Senior AI/ML engineers, especially those with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models, can earn $500,000 or more annually. High compensation is often associated with roles in leading tech companies, specialized skills, and sometimes stock options or bonuses.
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What cities in Georgia are hiring for Aiml Engineer jobs? Cities in Georgia with the most Aiml Engineer job openings:
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Infographic showing various Aiml Engineer job openings in Georgia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Engineer with AIOPS - Alpharetta, GA(Onsite - Hybrid)

Saksoft

Alpharetta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title : AI Engineer with AIOPS

Location : Alpharetta, GA(Onsite – Hybrid) 

Contract

Note: Looking only local candidates

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Job Summary

Seeking a Specialist with 5 to 7 years of experience in Machine Learning and AIOPS to drive AI engineering initiatives within the AIOPS domain

Job Description

  • Design develop and implement machine learning models specifically tailored for AIOPS solutions
  • Collaborate with crossfunctional teams to integrate AIdriven insights into IT operations
  • Analyze largescale operational data to identify patterns and optimize system performance using AI techniques
  • Utilize expertise in the AIOPSAI Engineering skill cluster to enhance automation and predictive capabilities
  • Stay updated with the latest advancements in machine learning and AIOPS technologies to continuously improve solutions
  • Ensure scalability and robustness of AI models in production environments Participate in the evaluation and selection of AI tools and frameworks relevant to AIOPS applications

Roles and Responsibilities 

  • Lead the development and deployment of AIML algorithms to automate IT operations and incident management
  • Collaborate with IT operations and engineering teams to understand challenges and provide AIdriven solutions
  • Monitor and finetune machine learning models to maintain high accuracy and performance Mentor junior team members and provide technical guidance on AIOPS and AI engineering best practices Drive innovation by identifying opportunities to apply machine learning in operational workflows
  • Document AI models processes and methodologies to ensure knowledge sharing and compliance
  • Participate in strategic planning to align AI initiatives with business objectives within the AIOPS domain

Skills

Mandatory Skills : Machine Learning - AIOPS

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