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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 ...

Software Engineer (Generative AI)

Atlanta, GA · On-site

$110.10K - $132.20K/yr

The role involves developing data quality models, building data pipelines, and mentoring junior ... MLOps practices, model monitoring, and CI/CD for AI workflows • Knowledge of prompt tuning, fine ...

Senior AI Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

You will work closely with AI leadership while providing day-to-day technical guidance to junior ... Define and implement MLOps and LLMOps standards including versioning, deployment, monitoring, and ...

Provide guidance and mentorship to junior data engineers. * Review dataset implementations ... Experience with MLOps practices, model monitoring, and CI/CD for AI workflows. * Knowledge of ...

... in MLOps, security, compliance, and scalability to support enterprise-grade adoption; partner ... junior engineers and consultants, fostering a culture of innovation, technical excellence, and ...

Lead Data Scientist

Atlanta, GA · On-site

$163K - $204K/yr

... frameworks, and mentor junior data scientists, all while solving complex problems in the ... Drive the adoption of MLOps best practices, ensuring models are scalable, reproducible, and ...

... in MLOps, security, compliance, and scalability to support enterprise-grade adoption; partner ... junior engineers and consultants, fostering a culture of innovation, technical excellence, and ...

... 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 ...

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

... junior engineers through the full ML lifecycle while driving measurable improvements in model ... Production Deployment & MLOps * Support endtoend ML workflows, including data preparation, training ...

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

... junior engineers through the full ML lifecycle while driving measurable improvements in model ... Production Deployment & MLOps * Support end‑to‑end ML workflows, including data preparation ...

Agentic Delivery Senior Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

Coach junior practitioners in prompt engineering, engineering quality, delivery methods, and ... Experience applying at least two MLOps or AI delivery practices such as deployment pipelines ...

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

... junior engineers through the full ML lifecycle while driving measurable improvements in model ... Production Deployment & MLOps * Support end-to-end ML workflows, including data preparation ...

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Mlops Junior information

See Decatur, GA salary details

$7

$26

$46

How much do mlops junior jobs pay per hour?

As of May 31, 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 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 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 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:

Specialist - Software Engineering

Futran Tech Solutions Pvt. Ltd.

Alpharetta, GA • On-site

Full-time

Posted 13 days ago


Job description

Job Posting Title Cloud Developer
Location Alpharetta GA or Berkeley Heights NJ
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 agentoriented 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 retrievalaugmented 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 productionready 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 eg 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 ing and logging tools in cloud environments Ability to set up and maintain monitoring dashboards s and logs
Familiarity with Continuous IntegrationContinuous Deployment CICD tools for automated testing deployments provisioning and observability
Ability to manage and respond to incidents perform root cause analysis and implement postmortem 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 enterprisescale financial services or other regulated industries
5 years of experience in SRE DevOps MLOps infrastructure or cloud engineering roles preferably supporting largescale distributed systems
Experience leading technical projects or mentoring junior engineers
Cloud Certifications Certified Engineer Developer Architect DevOps