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Mlflow Jobs in Georgia (NOW HIRING)

Lead Engineer- Cloud Product

Alpharetta, GA · On-site

$100K - $131K/yr

Experienced with modern ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.) and MLOps tools (Kubeflow, MLflow, Vertex AI Pipelines). * Proven record developing and deploying secure, enterprise ...

As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark, Delta Lake, and MLflow. This is a customer-facing role, where you ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases, and the surrounding tooling that makes ML systems reliable in production. You'll partner closely ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases, and the surrounding tooling that makes ML systems reliable in production. You'll partner closely ...

MLflow * Docker and Kubernetes * MLOps * Experience with AI/ML production environments #Hiring #W2 #MachineLearningEngineer #MachineLearning #AI #ArtificialIntelligence #Python #TensorFlow #PyTorch ...

New

Experience with Databricks and MLOps tools like MLflow * Experience with cloud, preferably in Azure * Ability to exhibit strong communication and customer-facing skills * Ability to thrive both ...

Data Engineer

Athens, GA · On-site

$95K - $115K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Columbus, GA · On-site

$102K - $123K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Guide clients on implementing end-to-end ML workflows using MLflow, Feature Store, and Model Serving on Databricks. . Advise on MLOps patterns including model versioning, A/B testing, monitoring, and ...

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Mlflow information

What is the difference between Mlflow vs Data Scientist?

AspectMlflowData Scientist
Required CredentialsKnowledge of machine learning tools, Python, and data managementDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentData science teams, machine learning projects, software developmentResearch, data analysis, model development, cross-functional teams
Employer & Industry UsageTech companies, AI startups, data-driven organizationsVarious industries including tech, finance, healthcare, and retail

While Mlflow is a platform for managing the machine learning lifecycle, a Data Scientist focuses on analyzing data and building models. Mlflow tools support Data Scientists in tracking experiments, but the roles differ in scope and responsibilities.

What are popular job titles related to Mlflow jobs in Georgia?

For Mlflow jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Mlflow jobs?

Cities in Georgia with the most Mlflow job openings:

Infographic showing various Mlflow job openings in Georgia as of August 2026, with employment types broken down into 56% Full Time, 22% Temporary, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Python MLOps Specialist (SageMaker, MLflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49 - $67.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Python MLOps Specialist (SageMaker, MLflow)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Python MLOps Specialist to streamline machine learning operations using Python with AWS SageMaker or MLflow. This role focuses on automating model deployment and management through CI/CD and DevOps practices.
Key Responsibilities
  • Develop Python-based MLOps workflows to automate ML model training and deployment.
  • Implement CI/CD pipelines for ML models using SageMaker, MLflow, or Kubeflow.
  • Manage model lifecycle processes, including versioning, testing, and monitoring with MLflow.
  • Leverage AWS SageMaker for scalable model training and inference in production.
  • Collaborate with DevOps teams to integrate MLOps into broader CI/CD ecosystems.
  • Ensure model governance, security, and performance in automated ML operations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in Python development with a focus on MLOps and DevOps practices.
  • Proficiency in using SageMaker or MLflow for automating machine learning workflows.
  • Experience with CI/CD pipelines for deploying and managing ML models in production.
  • Strong understanding of MLOps principles and their integration with Python-based systems.

Preferred Qualifications
  • Familiarity with Kubeflow for orchestrating MLOps workflows on Kubernetes.
  • Exposure to cloud platforms like AWS or GCP for scalable MLOps deployments.
  • Knowledge of monitoring tools like Prometheus for ML model observability.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, MLOps, SageMaker, MLflow, Kubeflow, CI/CD, DevOps