1

Mlops Junior Jobs in Decatur, GA (NOW HIRING)

Cloud Developer

Alpharetta, GA · On-site

$55 - $75.25/hr

... MLOps, infrastructure, or cloud engineering roles, preferably supporting large-scale, distributed systems. • Experience leading technical projects or mentoring junior engineers • Cloud ...

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

You will collaborate cross-functionally, mentor junior engineers, and influence multiple projects ... Collaborate with MLOps teams to optimize real-time inference across platforms (AKS, GKE, on-prem ...

... MLOps, model lifecycle management, and production-grade deployment, Cloud platforms (AWS/GCP/Azure ... mentoring more junior staff members. • Highly self-motivated, directed, ability to work ...

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

Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML ... Cares about development of junior consultants and invests in their progression. Grows Infosys ...

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

... 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 ...

Managers are also responsible for developing junior staff. The Team Our AI & Data practice offers ... Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud ...

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 ...

next page

Showing results 1-20

Mlops Junior information

See Decatur, GA salary details

$7

$26

$46

How much do mlops junior jobs pay per hour?

As of Jul 25, 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 are the key skills and qualifications needed to thrive as an MLOps Junior, and why are they important?

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 MLOps Junior roles?

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 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.

What are popular job titles related to Mlops Junior jobs in Decatur, GA? For Mlops Junior jobs in Decatur, GA, the most frequently searched job titles are:
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:
Cloud Developer

Cloud Developer

TMS

Alpharetta, GA • On-site

$55 - $75.25/hr

Contractor

Posted 8 days ago


Job description

Role: Cloud Developer 
Location: Alpharetta, GA or Berkeley Heights, NJ
Duration: 12+ Months
Experience Needed: 10+ Years
 
Position Summary:
As a Cloud Developer with a focus on Generative AI, you will design and build an innovative application that transforms how developers interact with cloud technologies. Your work will help shape our agent-oriented software engineering (AOSE) journey. You will combine conversational AI, intelligent workflows, and integrated agents to automate and enhance developer experience using cloud at Fiserv.
 
Primary Responsibilities:
•             Leading the design, development, and implementation of an agentic customer engagement platform, leveraging the latest Generative AI capabilities
•             Collaborating with other development teams to integrate agents, tools, and cloud services, ensuring seamless functionality and efficient workflows
•             Monitoring, operating, and optimizing the solution for performance, customer satisfaction, and cost efficiency, ensuring high availability and responsiveness.
•             Develop and integrate autonomous, agents that can plan, execute, and monitor tasks across cloud platforms, including retrieval-augmented generation, tool use, and workflow automation
•             Participating in code reviews, technical discussions, and contributing to the overall architectural strategy of AI solutions
•             Integrate large language models (LLMs), vector search, and other ML capabilities to power conversational experiences and intelligent recommendations
•             Collaborate with software engineering and security teams to ensure new services and features are production-ready and meet reliability standards
Qualifications:
•             Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP) and strong skills in prompt engineering for optimizing Generative AI model outputs.
•             5+ years of experience in software development with proficiency in at least one programming language (e.g., Python, Go, Java, C++)
•             Experience administrating cloud platforms (AWS, GCP, Azure), including networking, security, containerization, storage, data management, and serverless technologies
•             Deep understanding of observability (monitoring, alerting, and logging) tools in cloud environments. Ability to set up and maintain monitoring dashboards, alerts, and logs
•             Familiarity with Continuous Integration/Continuous Deployment (CI/CD) tools for automated testing, deployments, provisioning, and observability
•             Ability to manage and respond to incidents, perform root cause analysis, and implement post-mortem reviews
•             Understanding and practical experience with MLOps principles for managing the machine learning lifecycle
•             Experience with data management and engineering principles in a cloud context
 
Additional Qualifications a Plus:
•             Experience working with enterprise-scale financial services or other regulated industries
•             5+ years of experience in SRE, DevOps, MLOps, infrastructure, or cloud engineering roles, preferably supporting large-scale, distributed systems.
•             Experience leading technical projects or mentoring junior engineers
•             Cloud Certifications: Certified Engineer, Developer, Architect, DevOps