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Entry Level Machine Learning Engineer Jobs in Georgia

Collaborate with engineering and quality assurance teams to resolve production issues and improve processes. * Train and mentor entry-level machine operators on machine operation and best practices.

Machine Learning Tutor

Roswell, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Augusta, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Athens, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Entry Level Machine Learning Engineer information

See Georgia salary details

$25.3K

$58.6K

$99.6K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level machine learning engineer in Georgia is $58,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $66,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Georgia? The most popular types of Machine Learning Engineer jobs in Georgia are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Georgia look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Machine Learning Engineer jobs? Cities in Georgia with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Georgia as of July 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $58,568 per year, or $28.2 per hour.
Machine Learning Engineer (MLE) - Q123

Machine Learning Engineer (MLE) - Q123

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 7 days ago


Job description

Overview:
R2 Technologies Corporation (R2) is a technology services provider headquartered in Alpharetta, GA, with expertise in a range of cutting-edge technologies. R2 specializes in Java, Dot Net, Big Data, Cloud Computing, artificial intelligence (AI), machine learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) systems. Additionally, R2 offers highly skilled resources and productivity platforms that enable clients to rapidly deliver business value to their stakeholders.
R2's strength lies in providing platform-based solutions, architecting, and designing enterprise solutions, leveraging cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver scalable and cost-effective solutions.
R2's expertise in AI and ML enables clients to leverage the power of data to make data-driven decisions and improve their overall performance. R2 also provides solutions for internet of things (IoT) and blockchain technologies, which can help clients improve their supply chain management and streamline their operations.
Since its inception, R2 has rapidly grown to become one of the most respected and trusted technology companies in the United States, providing product development and staffing services to a diverse range of clients, including small and midsize businesses, as well as Fortune 1000 companies.
Job Title: Machine Learning Engineer (MLE)
Location: Alpharetta, GA.
Type: Full-time
Overview:
We are seeking a skilled and experienced Developer to join our team. The ideal candidate will have expertise in programming and experience in building scalable and reliable applications.
Responsibilities:
• The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
• Use programming languages like Python, Scala, or Java.
• API development
Required Skills:
• At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
• At least 3 years of experience designing and building data-intensive solutions using distributed computing
• At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
• At least 1 year of experience productionizing, monitoring, and maintaining models
Optional Skills:
• 1+ years of experience building, scaling, and optimizing ML systems
• 1+ years of experience with data gathering and preparation for ML models
• 2+ years of experience developing performant, resilient, and maintainable code
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• 1+ years of experience with distributed file systems or multi-node database paradigms
• 1+ years of experience building production-ready data pipelines that feed ML models
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Qualifications:
• Bachelor's degree in computer science, Engineering, or related field.
• Relevant certification.
Attributes:
We are seeking a candidate who is passionate, intelligent, and a critical thinker. The ideal candidate should be a proactive communicator, documenting their work clearly and succinctly. They should be detail-oriented, thoughtful, and respectful, with a focus on teamwork. The candidate should possess strong problem-solving skills and have the ability to work independently and within a team. They should be able to adapt to changing requirements and maintain a positive attitude in a fast-paced environment.
What's In It for You?
We offer competitive benefits, pay, and bonus potential, including group health insurance, vision and dental insurance, and paid vacation.
Skills:
Machine Learning,Artificial Intelligence,Python