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Ml Engineer Jobs in Georgia (NOW HIRING)

JR Software Solutions, Inc.

AI/ML Engineer

Atlanta, GA · On-site +1

As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools. You'll contribute ...

Virtual Networx

AI/ML Engineer

Atlanta, GA · On-site

AI/ML Engineer Location: Atlanta, GA Duration: Long Term Responsibilities * Design, build, and deploy AI/ML models for business applications. * Develop NLP and Generative AI solutions using LLMs.

Purple Drive

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...

New

Monitise

Data & ML Engineer

Alpharetta, GA

$111K - $134K/yr

As a Data & ML Engineer, you will help build and support the data engineering, ETL, and MLOps capabilities that power Merchant Opportunity Analysis (MOA) and Offer Engine within the Digital ...

Fiserv, Inc.

Data & ML Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

As a Data & ML Engineer, you will help build and support the data engineering, ETL, and MLOps capabilities that power Merchant Opportunity Analysis (MOA) and Offer Engine within the Digital ...

OVA.Work

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

OVA.Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will build scalable AI models, optimize ...

smart folks inc

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Lead AI/ML Engineer Location: Remote Duration: Full-time Note: Need Exceptional exp in AI/ML concepts (GenAI, Agentic, RAG), Vector DB works, news recommendation system using GenAI) or provide ...

Fiserv, Inc.

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Job Title Senior Data & ML Engineer About Your role: As a Senior Data & ML Engineer, you will play a lead technical role in building and operationalizing the data engineering, ETL, and MLOps ...

Shoptalk

Senior Data & ML Engineer

Alpharetta, GA · On-site

$140 - $210/hr

Job Title Senior Data & ML Engineer About Your role: As a Senior Data & ML Engineer, you will play a lead technical role in building and operationalizing the data engineering, ETL, and MLOps ...

New

Monitise

Senior Data & ML Engineer

Alpharetta, GA

$103K - $140K/yr

Job Title Senior Data & ML Engineer About Your role: As a Senior Data & ML Engineer, you will play a lead technical role in building and operationalizing the data engineering, ETL, and MLOps ...

Donato Technologies, Inc

AI/ML Engineer

Alpharetta, GA · On-site

AI/ML Engineer Location : Alpharetta, GA / NYC, NY (8-15 years) Mandatory Skills: * Model development & deployment * REST API integration for ML models Preferred Skills: * Experience with NLP, deep ...

Sumeru

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior AI/ML Engineer Location: Bellevue/Seattle, WA ; Atlanta, GA, and Frisco, TX Need Local Candidates Job Overview We are seeking an AI/ML Engineer to build the intelligent systems that power ...

CBRE

Senior Principal AI/ML Engineer

Atlanta, GA · On-site

$120K - $166K/yr

Role Summary The Senior AI/ML Engineer is a hands-on technical practitioner responsible for designing, building, and operationalizing production-grade AI and machine learning systems that power ...

Waystar, Inc

Senior ML Engineer

Atlanta, GA · On-site

$100 - $160/hr

Job Summary We are seeking a highly skilled and innovative Machine Learning Engineer to develop end‑to‑end ML pipelines, fine‑tune language models, design agentic architectures, and deploy ...

Crew Career Center

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

ABOUT THIS POSITION We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and ...

Waystar, Inc

Senior ML Engineer II

Atlanta, GA · On-site

$120 - $160/hr

Overview We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain‑specific AI systems using Language Models (LMs) and agentic ...

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All JobsMl Engineer JobsMl Engineer Jobs in Georgia

Ml Engineer information

See Georgia salary details

$27.9K

$75.3K

$119.9K

How much do ml engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ml engineer in Georgia is $75,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $92,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.
What are the most commonly searched types of Ml Engineer jobs in Georgia? The most popular types of Ml Engineer jobs in Georgia are:
What are popular job titles related to Ml Engineer jobs in Georgia? For Ml Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ml Engineer jobs in Georgia look for? The top searched job categories for Ml Engineer jobs in Georgia are:
What cities in Georgia are hiring for Ml Engineer jobs? Cities in Georgia with the most Ml Engineer job openings:
Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Georgia as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $75,305 per year, or $36.2 per hour.

AI/ML Engineer

JR Software Solutions, Inc.

Atlanta, GA • On-site, Remote

Full-time

Posted 21 days ago

Job description

About JRSS: JRSS is an IT consulting service provider for Government and Fortune 500 clients. As a certified WOSB, SDB, and HUBZone small business, we specialize in Federal Civilian Data, Cloud, and AI/ML enterprise-level solution architecture, design, implementation, and professional staffing. Recognized on the Inc. 5000 list of fastest-growing private companies, we're proud to foster a collaborative culture where innovation and client impact come first.
The Opportunity: JRSS is seeking an AI/ML Engineer.
True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools.
You'll contribute to building and scaling intelligent systems - from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help deliver practical, forward-looking solutions in dynamic environments.
Bring your technical expertise, curiosity, and customer-first mindset to help shape the future of intelligent systems across industries.
Core Responsibilities:
  • Design, develop, and deploy scalable machine learning models and AI-driven solutions to address complex business and operational challenges.
  • Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities.
  • Develop and optimize data pipelines, feature engineering workflows, and large-scale data processing solutions using Python, SQL, and Spark.
  • Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services.
  • Collaborate with cross-functional teams and stakeholders to deliver customer-focused AI/ML solutions while staying current on emerging technologies and industry best practices.

You Have:
  • 3+ years of experience designing, developing, and deploying machine learning models
  • 3+ years of experience with Generative AI, LLMs, or RAG applications
  • 4+ years of hands-on experience with Python for ML and data engineering
  • Experience with SQL for data manipulation and feature engineering
  • Experience with big data tools such as Apache Spark
  • Experience with Databricks and MLOps tools like MLflow
  • Experience with cloud, preferably in Azure
  • Ability to exhibit strong communication and customer-facing skills
  • Ability to thrive both independently and in cross-functional teams
  • Ability to problem solve and stay current with emerging ML trends

Nice If You Have:
  • Experience with full-stack development or deploying end-to-end ML applications
  • Experience with chatbot development or conversational AI
  • Experience fine-tuning large models
  • Experience with deploying ML solutions using MLOps pipelines
  • Knowledge of Agile workflows and tools like JIRA

Why JRSS? Join a fast-growing, award-winning team that values professional development, collaboration, and innovation. At JRSS, our employees are our greatest asset - and your work will directly support high-impact federal and enterprise missions.
JR Software Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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