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Junior Full Stack Machine Learning Engineer Jobs in Georgia

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162.51K - $342.75K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

Equifax is looking for a full stack Cloud Engineer - Mortgage and Housing platform, who is ... Mentoring junior members of the team. * Diagnose and resolve performance issues. * Participates in ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in ...

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

Senior Machine Learning Engineer (Nova)

Atlanta, GA · On-site

$117.80K - $155.30K/yr

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning ... Prototype applied ML solutions to validate feasibility before investing in full builds. * Ensure ...

Sr. Machine Learning Engineer

GA · Remote

$100.50K - $138K/yr

... full business context of AppFolio -- powering both employee productivity and end-to-end automation. Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

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Junior Full Stack Machine Learning Engineer information

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

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Georgia? The most popular types of Full Stack Machine Learning Engineer jobs in Georgia are:
What are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Georgia? For Junior Full Stack Machine Learning Engineer jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Junior Full Stack Machine Learning Engineer jobs? Cities in Georgia with the most Junior Full Stack Machine Learning Engineer job openings:
Full Stack Microservices Engineer (Node, Docker, Kafka) - Q125

Full Stack Microservices Engineer (Node, Docker, Kafka) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 24 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!
Full Stack Microservices Engineer (Node, Docker, Kafka)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Full Stack Microservices Engineer to develop event-driven applications using Node.js, Docker, and Kafka. This role focuses on building scalable microservices with React frontends for real-time functionality.
Key Responsibilities
  • Develop Node.js microservices with REST APIs and Kafka for event streaming capabilities.
  • Build responsive React frontends to integrate with microservices and display real-time data.
  • Deploy applications using Docker containers and manage them in production environments.
  • Implement event-driven architectures with Kafka to support high-throughput data flows.
  • Optimize full stack solutions for performance, scalability, and reliability across layers.
  • Collaborate with teams to ensure seamless integration of microservices and frontend components.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in full stack development with Node.js, Docker, and Kafka.
  • Proficiency in building microservices with REST APIs and event streaming using Kafka.
  • Experience with containerized deployments using Docker for full stack applications.
  • Strong understanding of microservices architecture and real-time data integration.

Preferred Qualifications
  • Familiarity with Kubernetes for orchestrating Docker-based microservices deployments.
  • Exposure to cloud platforms like AWS or Azure for hosting event-driven applications.
  • Knowledge of frontend optimization tools like Vite for React performance enhancement.

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:
Full Stack, Node.js, Docker, Kafka, Event Streaming, React, Microservices, REST APIs