ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Riverdale, GA (NOW HIRING)

Workday

Sr Machine Learning Engineer

Atlanta, GA · On-site

$159K - $276K/yr

... Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, Pytorch) Other Qualifications: * Strong programming skills in Python with proficiency in relevant libraries ...

Crowe LLP

Machine Learning Engineer

Atlanta, GA · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Comtech LLC

Machine Learning Engineer (Atlanta)

Atlanta, GA · On-site

$139K - $215K/yr

Our Atlanta-based client is seeking an experienced engineer to advance their AI capabilities. Using state-of-the-art sensor and data processing systems, you would lead your own team of high-caliber ...

Dolby

Staff Machine Learning Engineer

Atlanta, GA · On-site

Knowledge of statistics, data science, AI/machine learning, big data management * Strong ... Familiarity with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etc * Familiar ...

Dolby

Staff Machine Learning Engineer

Atlanta, GA · On-site

... machine learning and AI, big graphs, natural language processing, big data management, and ... with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etc Familiar with git and ...

Dolby

Staff Machine Learning Engineer

Atlanta, GA · On-site

Knowledge of statistics, data science, AI/machine learning, big data management * Strong ... Familiarity with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etc * Familiar ...

Speria

Machine Learning Operations Engineer

Atlanta, GA · On-site

$66K - $90K/yr

The MLOps Engineer works closely with Machine Learning Engineers and Data Engineers to ensure that models and decisioning systems are production-ready, observable, cost-efficient, and seamlessly ...

Patientco

Senior Machine Learning Engineer I

Atlanta, GA

$117K - $155K/yr

D. preferred. * 5+ years of professional experience in machine learning engineering, with a strong track record of deploying and maintaining ML models in production environments. * Expertise in ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Riverdale, GA

Machine Learning Engineer information

See Riverdale, GA salary details

$28.5K

$116.5K

$175.1K

How much do machine learning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning engineer in Riverdale, GA is $116,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $140,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

More about Machine Learning Engineer jobs

What cities near Riverdale, GA are hiring for Machine Learning Engineer jobs?

Cities near Riverdale, GA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Riverdale, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 2% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $116,547 per year, or $56 per hour.

Machine Learning Engineer III - AI/ML Product Engineering

Atlanta, GA • On-site

4pconsultinginc
See more jobs at 4pconsultingincexternal

Contractor

Re-posted 6 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.