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Entry Level Machine Learning Engineer Jobs in Kennesaw, GA

r2 Technologies, Inc.

AI & ML engineer

Atlanta, GA

Role: AI & ML engineer Location: Atlanta, GA #Role is on-site #10+ years profile usc/Gc only ... Design and develop machine learning algorithms and deep learning applications and systems for ...

TalentBridge

Jr Software Engineer

Atlanta, GA

Entry-Level Software / Data / Machine Learning Engineer We're seeking a high-potential, entry-level engineer who brings exceptional learning ability, strong fundamentals, and a bias toward action.

Varsity Tutors

Machine Learning Tutor

Roswell, GA · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Marietta, GA · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Johns Creek, GA · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Alpharetta, GA · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Sandy Springs, GA · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Woodstock, GA · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Atlanta, GA · Remote

$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 ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Collaborate with university partners and other scientists and engineers in a multidisciplinary work ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...

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All JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Kennesaw, GA

Entry Level Machine Learning Engineer information

See Kennesaw, GA salary details

$27.7K

$64.1K

$109K

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

As of Jun 15, 2026, the average yearly pay for entry level machine learning engineer in Kennesaw, GA is $64,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $72,500.00 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 cities near Kennesaw, GA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Kennesaw, GA with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Kennesaw, GA as of June 2026, with employment types broken down into 11% Internship, 73% Full Time, 10% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $64,097 per year, or $30.8 per hour.

Machine Learning Engineer 1 or 2

4P Consulting Inc.

Atlanta, GA

$110K - $132K/yr

Contractor

Posted 17 days ago

Job description

This position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly, efficiently while providing excellent value for the organization.

The ML Engineer will work with stakeholders – both business and IT to be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences.

Job Responsibilities:

• Model Development: Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks. Design, build, and optimize machine learning models and algorithms for various applications.

• Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation. Ensure data quality and integrity to enable accurate model predictions.

• Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud-based platforms like Azure.

• Model Training and Evaluation: Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement.

• Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments and integrate them with existing systems.

• Continuous Improvement: Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions.

• Documentation and Communication: Document your work thoroughly, including model architectures, methodologies, and results. Present findings and insights to stakeholders in a clear and understandable manner.

Technical Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

• Proven experience in developing and deploying machine learning models and algorithms.

• Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure).

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Ability to work effectively in a collaborative, cross-functional team environment.

• Strong problem-solving skills and a passion for tackling complex challenges.

• Excellent communication and presentation skills.

Preferred Qualifications:

• Experience with big data technologies such as Hadoop, Spark, or similar.

• Knowledge of deep learning architectures and techniques.

• Previous experience in natural language processing (NLP) or computer vision projects.

• Understanding of version control systems like Git.