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Online Machine Learning Jobs in Decatur, GA (NOW HIRING)

Waystar

Senior Machine Learning Engineer I

Atlanta, GA · On-site

$117K - $155K/yr

Deep understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning techniques, as well as deep learning architectures. * Strong experience with cloud ...

Comtech LLC

Machine Learning Engineer (Atlanta)

Atlanta, GA · On-site

$139K - $215K/yr

Salary Range : $139,000 - $215,000 per year WHY FOLLOW IF YOU CAN LEAD? Our Atlanta-based client is seeking an experienced engineer to advance their AI capabilities. Using state-of-the-art sensor and ...

YO AI Labs

Machine Learning Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic ...

Worldpay, Inc.

Data Scientist Lead

Atlanta, GA · On-site

Following the machine learning lifecycle, the data scientist should be able to convert the results ... For specific information on how FIS protects personal information online, please see the Online ...

FIS

Data Scientist

Atlanta, GA · On-site

Following the machine learning lifecycle, the data scientist should be able to convert the results ... For specific information on how FIS protects personal information online, please see the Online ...

FIS

Data Scientist Lead

Atlanta, GA · On-site

Following the machine learning lifecycle, the data scientist should be able to convert the results ... For specific information on how FIS protects personal information online, please see the Online ...

Worldpay, Inc.

Data Scientist

Atlanta, GA · On-site

Following the machine learning lifecycle, the data scientist should be able to convert the results ... For specific information on how FIS protects personal information online, please see the Online ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Recognize emerging machine learning and pattern recognition algorithms and work with the team to ... For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

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Showing results 41-60

All JobsOnline Machine Learning JobsOnline Machine Learning Jobs in Decatur, GA

Online Machine Learning information

See Decatur, GA salary details

$24.9K

$41.6K

$85.9K

How much do online machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for online machine learning in Decatur, GA is $41,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What are the most commonly searched types of Machine Learning jobs in Decatur, GA?

The most popular types of Machine Learning jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Online Machine Learning jobs?

Cities near Decatur, GA with the most Online Machine Learning job openings:

Online Machine Learning jobs near you

Senior Machine Learning Engineer I

Atlanta, GA • On-site

Waystar
Software Development • 501 - 1,000 employees
Learn more about Waystarexternal

$117K - $155K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago

Job description

ABOUT THIS POSITION
We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and agentic architectures. As a core member of the team, you will be instrumental in developing the entire ML pipeline, from sophisticated data extraction techniques to fine-tuning specialized LMs and orchestrating their interactions within a multi-agent framework.
This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real-world, high-impact problem, leveraging the latest research in agentic AI and LMs to deliver economical and powerful solutions.
WHAT YOU'LL DO
Data Pipeline & Knowledge Base Construction:
  • Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured information from complex documents (leveraging OCR, document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE).
  • Develop rich, nested JSON schemas for representing structured data and ensure scalable storage
  • Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database.

Language Model (LM) Development & Fine-tuning:
  • Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g., Phi-3, Mistral, Llama, Nemotron-H families) for specialized tasks.
  • Design and execute efficient fine-tuning strategies (e.g., LoRA, QLoRA, full fine-tuning) on curated, domain-specific datasets to achieve precise performance for tasks like coverage determination, code lookups, and policy rule application.
  • Explore and implement knowledge distillation techniques to transfer capabilities from larger models to smaller, more efficient LMs.

Agentic System Design & Implementation:
  • Build and maintain the core agentic framework, including the orchestrator that intelligently routes queries and coordinates interactions between various specialized LM tools.
  • Develop and integrate "tools" (specialized LMs and external APIs) that perform atomic medical necessity tasks, ensuring strict behavioral alignment and structured outputs.

MLOps & Deployment:
  • Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using services like Vertex AI, GKE, Cloud Functions, and Cloud Run.
  • Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), model versioning, and performance monitoring (latency, throughput, accuracy).

Continuous Improvement & Research:
  • Establish effective feedback loops from end-user interactions and system logs to identify areas for model improvement.
  • Curate and expand training datasets, ensuring data privacy (PHI/PII masking) and legal compliance.
  • Stay abreast of the latest research in LMs, agentic AI, NLP, and document understanding, applying relevant advancements to our system.

Collaboration:
  • Work closely with subject matter experts, product managers, and other engineers to translate complex requirements into technical solutions and evaluate system performance.

WHAT YOU'LL NEED
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field. Ph.D. preferred.
  • 5+ years of professional experience in machine learning engineering, with a strong track record of deploying and maintaining ML models in production environments.
  • Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow, PyTorch, Scikit-learn).
  • Deep understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning techniques, as well as deep learning architectures.
  • Strong experience with cloud platforms (AWS, Azure, GCP) and their ML services.
  • Proficiency in building and managing data pipelines using tools like Spark, Kafka, SQL, and NoSQL databases.
  • Demonstrated experience with MLOps principles and tools (e.g., MLflow, Kubeflow, Sagemaker, Airflow).
  • Excellent problem-solving skills and the ability to work independently on complex issues.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively in a cross-functional team.
  • Experience in the healthcare technology domain is a significant plus.
  • Proven ability to lead technical initiatives and influence architectural decisions.

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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