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Mlops Junior Jobs in Decatur, GA (NOW HIRING)

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Experience mentoring junior data scientists and providing technical leadership across complex analytics initiatives. * Familiarity with modern MLOps practices and model governance within regulated ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... junior data scientists and will be responsible for the overall success of the project. This ... Experience with MLOPS best practices and implementations * Experience with LLM and Natural Language ...

New

MiniMed

Principal Technical Product Owner

Atlanta, GA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... MLOps pipelines, data platform concepts, and cloud AI services to effectively partner with ... Drive sprint velocity and delivery predictability while mentoring junior product owners on AI ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... junior data scientists and will be responsible for the overall success of the project. This ... Experience with MLOPS best practices and implementations * Experience with LLM and Natural Language ...

New

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Mentor junior engineers and contribute to ML engineering best practices. Skills, Knowledge and ... Experience with CI/CD for ML (MLOps), monitoring, and observability. * Familiarity with anomaly ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... junior data scientists and will be responsible for the overall success of the project. This ... Experience with MLOPS best practices and implementations * Experience with LLM and Natural Language ...

BlueAlly

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

Architect and operate MLOps pipelines covering model lifecycle, registries, deployment, rollback ... Track record of mentoring more junior engineers and raising team technical quality through code ...

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Mlops Junior information

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How much do mlops junior jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for mlops junior in Decatur, GA is $26.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $32.40 per hour, depending on experience, location, and employer.

What is an MLOps junior?

MLOps Junior roles focus on supporting the deployment, maintenance, and monitoring of machine learning models in production environments. As a junior professional, you typically assist in automating workflows, managing data pipelines, and collaborating with data scientists and engineers. Responsibilities often include configuring cloud resources, setting up CI/CD pipelines, and ensuring models run smoothly after deployment. It's an entry-level position that helps bridge the gap between data science and operations, providing hands-on experience with machine learning infrastructure.

What are the key skills and qualifications needed to thrive as an MLOps junior?

To thrive as an MLOps Junior, you need a solid understanding of machine learning principles, programming in Python, and knowledge of software development practices, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), containerization tools (like Docker), CI/CD pipelines, and version control systems (like Git) is typically required. Strong problem-solving, collaboration, and a willingness to learn stand out as soft skills in this role. These skills and qualities are crucial for efficiently deploying, maintaining, and scaling machine learning models in real-world production environments.

What are some common challenges faced by a junior MLOps professional in their first year, and how can they overcome them?

As a Junior MLOps professional, one of the main challenges is bridging the gap between data science and engineering practices, particularly when deploying machine learning models to production. You may encounter issues like automating model pipelines, managing dependencies, and ensuring reproducibility. Collaborating closely with data scientists, software engineers, and DevOps teams is essential for learning best practices and troubleshooting problems efficiently. Proactively seeking mentorship, participating in code reviews, and familiarizing yourself with popular MLOps tools (such as Docker, Kubernetes, and CI/CD platforms) can greatly accelerate your growth and confidence in the role.

What is the difference between Mlops Junior vs Data Engineer?

AspectMlops JuniorData Engineer
Required CredentialsBasic understanding of ML workflows, some certifications preferredDegree in Computer Science or related field, certifications in data management
Work EnvironmentCollaborates with data scientists and ML engineers in tech companiesWorks on data pipelines, storage, and processing systems in various industries
Industry UsageEmerging role in AI/ML teams, startups, and tech firmsEstablished role across finance, healthcare, tech, and more

The comparison shows that Mlops Junior and Data Engineer roles share some technical foundations but differ mainly in focus. Mlops Junior emphasizes deploying and maintaining ML models, while Data Engineers focus on building data infrastructure. Both roles are vital in data-driven organizations, with Mlops Junior often working closely with Data Engineers to ensure smooth ML operations.

Is MLOps a good career choice in 2026?

MLOps Junior roles are expected to remain in demand in 2026 due to the growing adoption of machine learning and AI across industries. These roles typically require skills in cloud platforms, automation, and tools like Docker and Kubernetes, making them a promising career path for those interested in AI deployment and infrastructure. Continuous learning and certification in relevant technologies can enhance job prospects in this field.

Is MLOps in high demand?

MLOps junior roles are in high demand as organizations increasingly adopt machine learning and AI solutions. These positions require skills in cloud platforms, automation, and tools like Docker and Kubernetes, reflecting the growing need for efficient deployment and management of ML models across industries.

What job categories do people searching Mlops Junior jobs in Decatur, GA look for?

The top searched job categories for Mlops Junior jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Mlops Junior jobs?

Cities near Decatur, GA with the most Mlops Junior job openings:

Mlops Junior jobs near you

Principal AI Engineer

Manhattan Associates

Atlanta, GA • On-site

Full-time

Re-posted 20 days ago

Job description

We create possibilities that move life and commerce forward
Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you've come to the right place.
Principal AI Engineer is a senior technical leader responsible for designing, developing, and guiding the implementation of advanced artificial intelligence systems that support business goals. They combine deep expertise in machine learning, data science, and software engineering with strategic leadership to drive AI initiatives across an organization. They will drive the adoption of AI solutions by evangelizing their value, educating stakeholders, and guiding teams to integrate scalable and responsible AI capabilities into products and business processes.
MINIMUM REQUIREMENTS -
  • 7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.
  • 3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.
  • Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as Microsoft Copilot, Glean, and Google Agentspace
  • Deep knowledge of:
    • Machine Learning (classification, regression, clustering, recommendation systems)
    • Deep Learning (CNNs, RNNs, Transformers, GANs)
    • Natural Language Processing (BERT, GPT, LLM fine-tuning)
    • Computer Vision (YOLO, ResNet, object tracking, OCR)
  • Expertise in:
    • Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face)
    • Data engineering and pipeline development (Airflow, Spark, ETL systems)
    • MLOps, model lifecycle management, and production-grade deployment
    • Cloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes)
  • Track record of scaling ML models from experimentation to production across teams or business units.
  • Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.
  • Demonstrated ability to set research and development direction based on business needs.
  • Possesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments
  • 3+ years experience interfacing and partnering with vendors
  • 3+ years experience assisting in strategy/roadmap and planning
  • Strong communication skills and ability to communicate at all levels of the organization (technical and business)
  • 2+ years experience leading/mentoring more junior staff members
  • Highly self-motivated, directed, ability to work independently and be results-driven
  • 5+ years experience with SharePoint for document management and sharing
  • 5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA)
  • 3+ years experience in agile/waterfall software delivery methodologies
  • 3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar
  • 5+ years experience working with small, geographically distributed teams
  • 5+ years experience working both independently and in a team oriented, collaborative environment
  • Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs

EDUCATION REQUIREMENTS -
  • Bachelor's degree or foreign equivalent in computer science, engineering or related field or equivalent work experience

Principal Duties and Responsibilities -
  • AI Architecture & Strategy: Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.
  • Model Development: Lead development of machine learning, deep learning, and generative AI models for production environments.
  • Technical Leadership: Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.
  • Research & Innovation: Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.
  • Production Deployment: Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.
  • Cross-Functional Collaboration: Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions
  • Responsible AI & Governance: Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.
  • Performance Optimization: Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.

ADDITIONAL CHARACTERISTICS -
  • Independently performs assignments to achieve stated objective. Determines and develops approach to solutions
  • Receives technical guidance only on unusual or complex problems or issues
  • May be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact
  • Uses judgment and discretion to determine work priorities, receiving little instruction from others

#LI-JM1
Committed to diversity and inclusion
At Manhattan, it's about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members' backgrounds, experiences and perspectives add to us as a whole and make us unique.
We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.

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