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Entry Level Machine Learning Engineer Jobs in Kennesaw, GA

Intuit

AI Scientist 2

Atlanta, GA · On-site

Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists. * Apply various ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists. * Apply various ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists. * Apply various ...

RIT Solutions, Inc.

Gen AI Engineer

Atlanta, GA · On-site

RIT Solutions, Inc. is a company focused on innovative AI solutions, seeking a Gen AI Engineer to ... Required : • Strong foundation in AI, deep learning, and machine learning principles. • ...

DPR Construction

MLOps Engineer

Atlanta, GA

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

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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 Aug 20, 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 is an entry level machine learning engineer?

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 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 are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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 the most commonly searched types of Machine Learning Engineer jobs in Kennesaw, GA?

The most popular types of Machine Learning Engineer jobs in Kennesaw, GA are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Kennesaw, GA?

For Entry Level Machine Learning Engineer jobs in Kennesaw, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Kennesaw, GA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Kennesaw, GA are:

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 August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $64,097 per year, or $30.8 per hour.

ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
ML-Driven Data Engineer (Predictive Analytics Pipelines)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled ML-Driven Data Engineer to build predictive analytics pipelines using Spark or Python. This role focuses on developing real-time and batch pipelines to support machine learning models for actionable insights.
Key Responsibilities
  • Design and implement predictive analytics pipelines using Spark or Python for real-time and batch processing.
  • Develop data workflows to preprocess and feed data into machine learning models for analytics.
  • Integrate ML models into pipelines for automated inference and continuous learning in production.
  • Optimize data pipelines for performance, scalability, and reliability in distributed environments.
  • Collaborate with data scientists to ensure seamless integration of ML models into data workflows.
  • Monitor and troubleshoot pipelines to maintain data quality and model accuracy over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on machine learning and predictive analytics.
  • Proficiency in building real-time and batch pipelines using Spark or Python for ML-driven applications.
  • Experience integrating machine learning models into data pipelines for production use.
  • Strong understanding of distributed data processing and ML workflow integration.

Preferred Qualifications
  • Familiarity with cloud-based ML platforms like AWS SageMaker or Azure ML for pipeline integration.
  • Exposure to advanced Spark features like MLlib for building predictive analytics models.
  • Knowledge of orchestration tools like Airflow for managing complex ML pipelines.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, Predictive Analytics, Machine Learning, Spark, Python, Real-Time, Batch Pipeline

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