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Remote Mlops Jobs in Georgia (NOW HIRING)

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Familiarity with modern MLOps practices and model governance within regulated financial services ...

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Familiarity with modern MLOps practices and model governance within regulated financial services ...

Experience with MLOPS best practices and implementations * Experience with LLM and Natural Language Processing models * Experience working with remote and global teams * Results driven with a ...

S. locations in a remote capacity. Reports to: Chief Technology Officer As the VP of Data Strategy ... Establish MLOps and LLMOps practices covering model development, evaluation, deployment, monitoring ...

... MLOps, and interpretability frameworks. · Promote compliance with industry standards and ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

... MLOps, and interpretability frameworks. · Promote compliance with industry standards and ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Experience with MLOPS best practices and implementations * Experience with LLM and Natural Language Processing models * Experience working with remote and global teams * Results driven with a ...

Showing results 21-32

Remote Mlops information

What is a remote mlops?

A Remote MLOps job involves managing and automating the deployment, monitoring, and maintenance of machine learning models in production environments, all while working from a remote location. MLOps stands for Machine Learning Operations, and professionals in this role bridge the gap between data science and IT operations to ensure smooth, reliable model performance. Remote MLOps engineers use tools and practices to streamline machine learning workflows, collaborate with distributed teams, and maintain infrastructure without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote mlops engineer?

To thrive as a Remote MLOps Engineer, you need a strong background in machine learning, software engineering, and cloud computing, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and experience with ML frameworks such as TensorFlow or PyTorch are crucial, along with relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating across distributed teams and handling complex deployments. These skills ensure the seamless integration, deployment, and monitoring of machine learning models in production environments, driving efficiency and reliability in remote settings.

What are some common challenges faced by remote mlops engineers, and how can they be overcome?

Remote MLOps engineers often face challenges related to collaborating across distributed teams, ensuring robust CI/CD pipelines for machine learning models, and maintaining secure, scalable cloud infrastructure. Effective communication using collaboration tools and thorough documentation is key to overcoming team coordination issues. Additionally, leveraging cloud-based MLOps platforms and automating routine processes can help streamline workflows and reduce operational friction, allowing engineers to focus on innovation and model optimization.

What is the difference between Remote Mlops vs Data Engineer?

AspectRemote MlopsData Engineer
Required CredentialsCertifications in cloud platforms, ML frameworks, scripting skillsDatabase, ETL, SQL, cloud certifications
Work EnvironmentRemote, cloud-based, collaboration with ML teamsRemote or on-site, data infrastructure focus
Industry UsageAI/ML companies, tech firms, startupsData-driven companies, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Mlops and Data Engineers share overlapping skills like cloud computing and scripting, but Remote Mlops focuses on deploying and maintaining ML models in production, while Data Engineers build and manage data pipelines. Both roles are essential in data-driven organizations, often collaborating but with distinct technical focuses.

What are the most commonly searched types of Mlops jobs in Georgia?

The most popular types of Mlops jobs in Georgia are:

What job categories do people searching Remote Mlops jobs in Georgia look for?

The top searched job categories for Remote Mlops jobs in Georgia are:

What cities in Georgia are hiring for Remote Mlops jobs?

Cities in Georgia with the most Remote Mlops job openings:

Infographic showing various Remote Mlops job openings in Georgia as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Full Stack .NET Architect - GenAI Experience (Remote)

Accenture

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services


Job description

This position is open to candidates located anywhere in the United States. Candidates are welcome to work remotely or out of one of our regional offices.

We are seeking a visionary Full Stack Engineering Architect with proven expertise in Generative AI (Gen AI) to drive the design and implementation of groundbreaking intelligent applications. The ideal candidate will possess deep technical acumen across front-end and back-end development, cloud architectures, and the latest advancements in AI and machine learning, particularly Gen AI platforms and techniques.

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  • Architect, design, and oversee development of scalable, secure, and robust full stack solutions integrating Gen AI capabilities.

  • Guide cross-functional engineering teams in building end-to-end web and mobile applications leveraging modern frameworks and cloud services.

  • Lead the integration of state-of-the-art Gen AI models (e.g., LLMs, transformers, generative image and text models) into core business products.

  • Collaborate with product managers, data scientists, and UX/UI designers to deliver seamless, user-centric AI experiences.

  • Establish and enforce software architecture best practices, coding standards, and agile development methodologies.

  • Evaluate emerging AI technologies and tools, providing strategic recommendations for adoption and implementation.

  • Mentor engineers, championing technical excellence and continuous learning within the team.

  • Ensure solutions are compliant with security, privacy, and regulatory requirements relevant to Gen AI applications.


Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.

  • 10+ years of experience in full stack development .Net, cloud computing (Azure), and modern DevOps practices.

  • Experience with Microsoft Azure OpenAI Service.

  • Demonstrated hands-on expertise in deploying and scaling Gen AI models (OpenAI, Hugging Face, custom LLMs, etc.).

  • Strong understanding of microservices, API design, containerization (Docker, Kubernetes), and CI/CD pipelines.

  • Experience architecting solutions with RESTful and GraphQL APIs, NoSQL/SQL databases, and real-time data processing.

  • Track record of leading engineering teams and delivering complex projects from conception to production.

  • Excellent problem-solving, communication, and leadership skills.

  • Passion for innovation and staying ahead of Gen AI trends.

Preferred Skills

  • Knowledge of Agentic AI concepts, frameworks, and their practical applications.

  • Experience with prompt engineering, fine-tuning, and deploying custom Gen AI models.

  • Knowledge of ethical AI practices, responsible AI frameworks, and related governance.

  • Background in building AI-powered chatbots, recommendation engines, or creative content tools.

  • Familiarity with MLOps, model monitoring, and performance optimization.

We anticipate this job posting will be posted on2/16/2025 and open for at least 14 days.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Avanade

California $155,000-190,000

Cleveland $140,000-170,000

Colorado $140,000-170,000

District of Columbia $155,000-190,000

Illinois $150,000-180,000

Maryland $140,000-170,000

Massachusetts $140,000-170,000

Minnesota $150,000-180,000

New York $155,000-190,000

New Jersey $155,000-190,000

Washington $155,000-190,000

At Avanade, we are committed to ensure our people feel appreciated and empowered to succeed both personally and professionally.

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