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Remote Machine Learning Jobs in Dallas, GA (NOW HIRING)

Tech Stars Group LLC

Senior Platform Engineer

Atlanta, GA · Remote

$100K - $138K/yr

About the job Senior Platform Engineer Senior Platform Engineer - REMOTE Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities * Data annotation and quality review

ConstructConnect

Data Scientist I

Atlanta, GA · On-site +1

Define, develop, and refine analytical, statistical, and machine learning algorithms for advanced ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site +1

$110K - $132K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · 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 ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · 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 ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Dallas, GA

Remote Machine Learning information

See Dallas, GA salary details

$23K

$38.5K

$79.5K

How much do remote machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote machine learning in Dallas, GA is $38,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Dallas, GA? For Remote Machine Learning jobs in Dallas, GA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Dallas, GA look for? The top searched job categories for Remote Machine Learning jobs in Dallas, GA are:
What cities near Dallas, GA are hiring for Remote Machine Learning jobs? Cities near Dallas, GA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Senior Platform Engineer

Tech Stars Group LLC

Atlanta, GA • Remote

$100K - $138K/yr

Other

Posted 20 days ago

Job description

About the job Senior Platform Engineer
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 search of a platform engineer to join our team in enhancing, securing, and scaling our cutting-edge natural language understanding platforms. In this role, you will collaborate closely with both application developers and machine learning specialists to design and implement services using terraform and Google Cloud Platform (GCP). Additionally, you will play a key role in establishing and securing integrations with our clients and partners. As part of our compact and cooperative team, your contributions will significantly influence our operational methodologies.
What You'll Do

  • Work in tandem with application engineers to develop and maintain robust, efficient, and secure infrastructure for our mobile and web applications.
  • Forge secure connections between our platform and healthcare systems in collaboration with engineers and clients.
  • Empower application teams with the tools and processes necessary for monitoring performance, availability, and reliability, fostering a culture of ownership.
  • Seek out and spearhead initiatives to enhance engineering productivity through innovative tooling and streamlined processes.
  • Oversee CI/CD pipelines and manage other critical components of our cloud-based development infrastructure.
  • Champion and implement security best practices within the organization.
  • Produce and update clear, relevant, and precise documentation.

What You'll Bring
  • Over 5 years of software engineering background, with at least 3 years dedicated to infrastructure-as-code practices within a cloud-centric organization.
  • Proficiency in managing Kubernetes clusters, including the creation and upkeep of helm charts for deploying applications.
  • Expertise in developing and maintaining CI/CD pipelines for both infrastructure and application code deployments (e.g., Terragrunt, Atlas, ArgoCD, Octopus Deploy, Travis CI).
  • Comfortable with implementing and securing services on Google Cloud Platform as Infrastructure as code, including managing GCP Projects, VPC Networks, Google Kubernetes Engine, and IAM Roles, Groups, and policies.
  • Skilled in backend scripting languages (e.g., Python, GoLang, JavaScript, Rust, Bash).
  • Always up-to-date with industry best practices and tools, with a keen interest in learning new technologies.
  • Enthusiastic about contributing actively in a dynamic, productive, and supportive team environment.
  • Ready to assist across various tasks, embracing the fast-paced nature of a growing startup.

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