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Remote Machine Learning Architect Jobs in Atlanta, GA

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Senior AI Engineer is responsible for designing, building, scaling, and optimizing

Zeta Global

Senior Data Scientist

Atlanta, GA · On-site +1

$160K - $180K/yr

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI -Powered Marketing Cloud that leverages advanced artificial intelligence ( AI ) and trillions of consumer signals to make it easier for marketers to

Proticom

Performance Architect (Remote)

Atlanta, GA · Remote

$160K/yr

Our client is seeking a highly skilled and experienced Performance Architect (Systems Performance Engineer OR Principal Performance Engineer) to join their team. The ideal candidate will possess a

CIYIS

Snowflake Engineer / Architect

Atlanta, GA · On-site +1

We are seeking a Snowflake Engineer / Architect to join our dynamic team! This position contributes to the assessment, design, build, and deployment of Data Cloud solutions utilizing industry best

CIYIS

Snowflake Engineer / Architect

Atlanta, GA · On-site +1

We are seeking a Snowflake Engineer / Architect to join our dynamic team! This position contributes to the assessment, design, build, and deployment of Data Cloud solutions utilizing industry best

CIYIS

Azure Solution Architect (Remote)

Atlanta, GA · Remote

$65 - $84.75/hr

We are seeking an Azure Solution Architect to join our dynamic team! This position contributes to the assessment, design, build, and deployment of SaaS solutions utilizing industry best practices

YO AI Labs

AI Data Scientist - Remote

Atlanta, GA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an

New

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act

TechStarsGroup LLC

Senior Platform Engineer

Atlanta, GA · Remote

$100K - $138K/yr

Senior Platform Engineer - REMOTE Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized. **The Role** We are in

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

Remote Machine Learning Architect information

See Atlanta, GA salary details

$44.7K

$123.8K

$193.8K

How much do remote machine learning architect jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote 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 is a remote machine learning architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

How does a remote machine learning architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What are the key skills and qualifications needed to thrive as a remote machine learning architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

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

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

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

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

What cities near Atlanta, GA are hiring for Remote Machine Learning Architect jobs?

Cities near Atlanta, GA with the most Remote Machine Learning Architect job openings:

Remote Machine Learning Architect jobs near you
Infographic showing various Remote 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.

Principal Decision Scientist, Applied Optimization and Simulation 2026 - US

Atlanta, GA • On-site, Remote

Aimpoint Digital
51 - 200 employees
Learn more about Aimpoint Digitalexternal

Full-time

Re-posted 4 days ago

Job description

Aimpoint Digital is an AI and data consulting firm that turns AI ambition into production reality, built on the data and analytics foundation required to scale. This position is within our decision sciences practice which focuses on delivering production solutions via mathematical optimization and machine learning for our Federal customers. This role requires an active security clearance and a willingness to work on SIPR 2-4 days per week depending on project needs.
What you will do
As a part of Aimpoint Digital, you will focus on enabling our Federal clients to get the most out of their data. Our Decision Science practice focuses on business, data, and process understanding to identify the best approach to solve our client's complex problems. We focus on delivering tangible value with models in production, not chasing theoretical boundaries with prototypes. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and data visualizations. As a Lead Decision Scientist you will be expected to work independently on client engagements, manage tasking for more junior decision scientists, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Decision Scientist you will:
  • Become a trusted advisor working with clients to design and build end-to-end analytical solutions from initial solution architecture design through feature engineering, modeling, deployment, and maintenance
  • Work independently to solve complex decision science use-cases across various industries using mathematical optimization, simulation, machine learning, statistical/mathematical modeling, and analytics to solve use cases for our federal clients
  • Use your experience with decision science to build and manage agentic workflows to complete modeling tasks
  • Flexibly lead projects, from hands-on single developer engagements through complex projects coordinating between account management and a team of developers across Aimpoint
  • Manage or mentor junior decision scientists through their career at Aimpoint
  • Synthesize insights and construct narratives to influence decision making using optimization, simulation, statistics, ML modeling, and other techniques
  • Write code in Python following software engineering best practices
  • Take models from development to production in client environments following DecisionOps/MLOps best practices
  • Collaborate with stakeholders and customers to ensure successful project delivery
  • Assist with technical proposal and GTM material development
  • Contribute to the Aimpoint perspective on agentic and AI accelerated decision science
  • Lead and deliver internal practice development initiatives

Who we are looking for
We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who uses AI to write efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits:
  • Active Secret or higher security clearance
  • Willingness and ability to work on-site in a facility with SIPR access for 2-4 days per week
  • MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field
  • MS + 5-6 years practical experience
  • PHD + 4-5 years practical experience
  • Strong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theory
  • Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo
  • Practical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS
  • Required competency in Python for data manipulation and modeling via classical ML methodologies
  • Demonstrated evidence of experience with end-to-end model development including but not limited to:
    • Requirements gathering
  • Solution design / architecture
  • EDA / data validation
  • Model development and testing
  • Model deployment
  • Model maintenance
  • Business user handoff / training
  • Experience communicating complex topics and results to high-level stakeholders. Strong written and verbal communication skills are required.
  • Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people

Want to stand out?
  • Consulting Experience
  • Databricks Machine Learning Associate or Machine Learning Professional Certification
  • Snowflake SnowPro Core Certification or SnowPro Advanced: Data Scientist Certification
  • Claude certification or experience to generate skills / agents for decision science tasks
  • Experience with mathematical optimization and data science for Federal clients

We are actively seeking candidates for full-time, remote work within the US.

Apply