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Machine Learning Architect Jobs in Atlanta, 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 ... Proven ability to lead technical initiatives and influence architectural decisions. ABOUT WAYSTAR ...

Jobtailor

AI Architect - Media

Atlanta, GA · On-site

Significant hands-on experience in AI, machine learning, and embedded software engineering * Strong ... Ability to work across abstraction layers from model architecture to operator-level hardware ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... architecture, with some emphasis on scalable architectures supporting both traditional ML and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... architecture, with some emphasis on scalable architectures supporting both traditional ML and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... architecture, with some emphasis on scalable architectures supporting both traditional ML and ...

InfiCare

AI Architect - Retail Domain

Duluth, GA · On-site

Job Title: AI Architect - Retail Domain Location: Duluth, GA (Hybrid - 3 Days Onsite | Local ... Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Agentic AI Frameworks, NLP, Computer ...

TIER4 GROUP

Data Architect

Atlanta, GA · Hybrid

$61.25 - $78.75/hr

... AI, machine learning, and big data analytics, and integrate them into data strategies as ... Enterprise Data Architect or in a similar role. · Strong background in data governance, data ...

TIER4 GROUP

Senior Enterprise Architect

Atlanta, GA · On-site +1

Champion emerging technologies, including Cloud, Big Data, AI, and Machine Learning, to future-proof the organization. * Establish and promote enterprise-wide architectural standards to ensure ...

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

Work is looking for a talented AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will work on building scalable AI models ...

AWSPRODVK1

Development Architect

Marietta, GA · On-site

$1.3K - $34K/yr

About the Role: The Development Architect plays a crucial role in shaping the future of ... Familiarity with data analytics and machine learning applications in agriculture. Responsibilities:

Cloud Data Vision LLC

AI Architect

Atlanta, GA · On-site

Define architecture for LLM, RAG, AI agents, machine learning, and intelligent automation use cases. Work with cloud platforms such as AWS, Azure, or Google Cloud Platform to build and deploy AI ...

Booz Allen Hamilton

Cybersecurity Architect

Atlanta, GA · On-site

$112K - $257K/yr

... machine learning. Join our team, as we tackle cybersecurity challenges and shape opportunities to ... Cybersecurity Architect The Opportunity: Everyone knows security needs to be "baked in" to system ...

Resource Point LLC

OTM Cloud Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

OTM Cloud Architect Duration: 12+ Months Position Type: Contract Location: Atlanta, GA As an Oracle ... Experience with LNM, ODA, mobile, and machine learning capabilities is a plus. * Extensive ...

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Showing results 41-60

All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Atlanta, GA

Machine Learning Architect information

See Atlanta, GA salary details

$44.7K

$123.8K

$193.8K

How much do machine learning architect jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning architect in Atlanta, GA is $123,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $159,600.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

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

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

What are popular job titles related to Machine Learning Architect jobs in Atlanta, GA?

For Machine Learning Architect jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Architect jobs in Atlanta, GA look for?

The top searched job categories for Machine Learning Architect jobs in Atlanta, GA are:

Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $123,819 per year, or $59.5 per hour.

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 23 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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