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Remote Aws Machine Learning Jobs in Georgia (NOW HIRING)

Senior Data Engineer 2026 - US,UK

Atlanta, GA ยท On-site +1

$117K - $155K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... You will not be developing machine learning models or algorithms Who you are: We are building a ...

Data Platform Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Director Data & AI Platform Engineer

Atlanta, GA ยท On-site +1

$108K - $130K/yr

Lead the design and build our AI native travel search APIs by building machine learning feedback ... Good working knowledge of AWS, including how to build secure, scalable and automated cloud ...

Remote access to a virtual lab for testing/learning opportunities * Flexible / Alternative Work ... Develop guidance on data analysis and reporting, including the use of machine learning models and ...

Senior AI Engineer 2026 - US

Atlanta, GA ยท On-site +1

$100K - $138K/yr

Experience developing AI applications using modern LLMs, machine learning models, or intelligent ... Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar ...

Senior AI Engineer 2026 - US

Atlanta, GA ยท Remote

$100K - $138K/yr

Experience developing AI applications using modern LLMs, machine learning models, or intelligent ... Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar ...

$185K - $198K/yr

Implement and support Machine Learning and Generative AI solutions, including LLM-based systems ... Operate and support AI-enabled applications in Azure and/or AWS . * Maintain CI/CD and operational ...

Domain Expert - (STEM PhD)

Atlanta, GA ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Senior Software Engineer

Atlanta, GA ยท On-site +1

$117K - $155K/yr

... machine learning, and AI - and in Hospitality, we're building products that redefine what modern ... AWS and our data lake. * Build AI/ML and LLM-powered features into the product, and own the full ...

Data Platform Engineer

Atlanta, GA ยท Remote

$100K - $150K/yr

... and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Data Engineer

Atlanta, GA ยท On-site +1

$105K - $140K/yr

... powers analytics, machine learning, and business decision-making at PrizePicks. This is an ... Experience working with cloud environments (GCP, AWS, Azure) * Familiarity with SQL - you can write ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

Professional AI Architect, Machine Learning Engineer) or equivalent are a plus * Advanced degree ... Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem ...

Professional AI Architect, Machine Learning Engineer) or equivalent are a plus * Advanced degree ... Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem ...

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Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote AWS Machine Learning Engineer, and why are they important?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

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

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Georgia? The most popular types of Aws Machine Learning jobs in Georgia are:
What are popular job titles related to Remote Aws Machine Learning jobs in Georgia? For Remote Aws Machine Learning jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Remote Aws Machine Learning jobs? Cities in Georgia with the most Remote Aws Machine Learning job openings:
Senior Data Science Manager, Growth & Retention Marketing

Senior Data Science Manager, Growth & Retention Marketing

PrizePicks

Atlanta, GA โ€ข On-site, Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

hackajob is collaborating with PrizePicks to connect them with exceptional professionals for this role.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? 

The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments.  As Senior Data Science Manager, Growth & Retention Marketing, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.

What youโ€™ll do:

  • Lead a team of data scientists, covering topics across retention and acquisition marketing
  • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
  • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
  • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
  • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
  • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
  • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals

What you have:

  • 7+ years of experience in data science & analytics
  • 5+ years of experience in a marketing, customer, or revenue data-related role
  • 3+ years of experience managing or mentoring data scientists, analysts, or engineers
  • Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred
  • Proven experience in building and implementing production-grade machine learning models in an operations support capacity
  • Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
  • Exceptional communicator, with experience presenting to senior leadership
  • Ability to influence cross-functional partners (Marketing, Finance, Product)
  • Comfortable balancing hands-on work with team leadership
  • Technical Skills
    • Strong statistical proficiency
    • Python for statistical computing, model development, and data visualization
    • Advanced SQL

Where youโ€™ll live:

  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. Weโ€™re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 5/11/2026

Benefits youโ€™ll receive:

In addition to your great compensation package, full-time employees will be eligible for the following perks: 

  • Company-subsidized medical, dental, & vision plans 
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S.  We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

PrizePicks is an Equal Opportunity Employer.  All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.