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Mlops Engineer Jobs in Georgia (NOW HIRING)

Neshent Technologies

MLOps Technical Architect

Decatur, GA · On-site

$63.25 - $76.25/hr

Strong programming experience in Python and Java. * Hands-on experience with Agentic AI frameworks ... Architect scalable AI/ML, MLOps, Generative AI, and Agentic AI solutions. * Lead the design and ...

New

Neshent Technologies

MLOps Technical Architect

Atlanta, GA · On-site

$63.75 - $77/hr

Strong programming experience in Python and Java. * Hands-on experience with Agentic AI frameworks ... Architect scalable AI/ML, MLOps, Generative AI, and Agentic AI solutions. * Lead the design and ...

New

Neshent Technologies

MLOps Technical Architect

Scottdale, GA · On-site

$64.75 - $78.25/hr

Strong programming experience in Python and Java. * Hands-on experience with Agentic AI frameworks ... Architect scalable AI/ML, MLOps, Generative AI, and Agentic AI solutions. * Lead the design and ...

New

Neshent Technologies

MLOps Technical Architect

Decatur, GA · On-site

$64.75 - $78/hr

Strong programming experience in Python and Java. * Hands-on experience with Agentic AI frameworks ... Architect scalable AI/ML, MLOps, Generative AI, and Agentic AI solutions. * Lead the design and ...

New

smart folks inc

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Hands-on MLOps & Engineering Practice: * Drive the practical implementation of the MLOps strategy, directly overseeing the construction and optimization of CI/CD pipelines for AI/ML systems using ...

Worldpay

Senior ML Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

What you'll bring * 5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience * Proven expertise with ML model deployment, API design ...

The E Group

Be Seen First

Machine Learning Engineer

Atlanta, GA · On-site

$50 - $60/hr

Work closely with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns. * Contribute to shared libraries, APIs, and templates that accelerate AI product ...

JR Software Solutions, Inc.

AI/ML Engineer

Atlanta, GA · On-site +1

As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and ... Implement and support MLOps practices, including model training, deployment, monitoring, and ...

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Mlops Engineer information

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What does an MLOps engineer do?

An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.
What are the most commonly searched types of Mlops Engineer jobs in Georgia? The most popular types of Mlops Engineer jobs in Georgia are:
What are popular job titles related to Mlops Engineer jobs in Georgia? For Mlops Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Mlops Engineer jobs in Georgia look for? The top searched job categories for Mlops Engineer jobs in Georgia are:
What cities in Georgia are hiring for Mlops Engineer jobs? Cities in Georgia with the most Mlops Engineer job openings:
Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

MLOps Technical Architect

Neshent Technologies

Decatur, GA • On-site

$63.25 - $76.25/hr

Full-time

Posted 3 days ago

New

Job description

We are seeking an experienced MLOps Technical Architect to lead the architecture, design, and deployment of enterprise AI/ML, Generative AI, and Agentic AI solutions. The ideal candidate will have strong expertise in MLOps, cloud-native AI platforms, LLMs, RAG architectures, and AI agent frameworks, with the ability to deliver scalable, production-ready AI solutions.

Required Skills Technical Skills
  • Strong programming experience in Python and Java.
  • Hands-on experience with Agentic AI frameworks, including Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/AutoGen, and OpenAI Agent SDK.
  • Experience integrating Gemini Tools and Custom MCP (Model Context Protocol) Tools.
  • Strong knowledge of TensorFlow, PyTorch, and AutoML for machine learning model development.
  • Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP).
  • Experience designing and implementing RAG architectures, including data ingestion, retrieval, hybrid search, and response generation.
  • Strong experience with Google Cloud Platform (GCP), Vertex AI, and Kubeflow.
  • Experience in data preprocessing, feature engineering, and ML pipeline development.
  • Proficiency with GitHub for source control and version management.
  • Experience in model development, testing, validation, deployment, and monitoring.
  • Strong knowledge of databases including Oracle, DB2, PostgreSQL, BigQuery, Cassandra, and Big Data platforms.
  • Experience working in Agile/Scrum environments.
Good to Have
  • GPU programming and performance optimization.
  • GPU profiling and TensorRT optimization.
  • Experience with vector databases and AI model optimization techniques.
Functional Skills
  • Experience working with clients in the Retail domain.
  • Knowledge of Retail Pricing processes and merchandising solutions is an advantage.
Roles and Responsibilities
  • Collaborate with business and IT stakeholders to understand business requirements and identify AI/ML opportunities.
  • Architect scalable AI/ML, MLOps, Generative AI, and Agentic AI solutions.
  • Lead the design and development of machine learning models, AI pipelines, and intelligent agent workflows.
  • Develop, optimize, and automate ML models, pipelines, and orchestration logic.
  • Design and deploy LLM-powered applications, RAG pipelines, AI agents, and vector-based memory systems.
  • Build integrations with enterprise systems using APIs, Gemini tools, and MCP-based integrations.
  • Work closely with Data Scientists, ML Engineers, DevOps, and Software Engineering teams to ensure successful deployment and operational excellence.
  • Drive technical architecture, infrastructure, tooling, and cloud strategy for AI platforms.
  • Monitor solution performance, troubleshoot production issues, and implement continuous improvements.
  • Provide timely project updates, technical guidance, and documentation to stakeholders and leadership.
  • Identify opportunities for process automation and operational efficiency.
  • Foster collaboration across cross-functional teams to ensure successful project delivery.
Preferred Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience designing enterprise-scale AI/ML and MLOps platforms.
  • Familiarity with cloud-native AI deployment and CI/CD practices for machine learning.

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