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Remote Machine Learning Engineer Jobs in Kennesaw, GA

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 ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... machine learning and data engineering. * Own the end-to-end delivery of complex predictive and ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... machine learning and data engineering. * Own the end-to-end delivery of complex predictive and ...

YO AI Labs

Mental Health Expert - Remote

Atlanta, GA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Work with engineers to design and implement scalable machine learning pipelines, covering all stages from data ingestion and feature extraction to training, testing, validation, inference, and ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/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 JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Kennesaw, GA

Remote Machine Learning Engineer information

See Kennesaw, GA salary details

$29.1K

$119K

$178.8K

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

As of Sep 3, 2026, the average yearly pay for remote machine learning engineer in Kennesaw, GA is $118,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,800.00 and $143,200.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

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

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

What are popular job titles related to Remote Machine Learning Engineer jobs in Kennesaw, GA?

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

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

The top searched job categories for Remote Machine Learning Engineer jobs in Kennesaw, GA are:

What cities near Kennesaw, GA are hiring for Remote Machine Learning Engineer jobs?

Cities near Kennesaw, GA with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Kennesaw, GA as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $118,994 per year, or $57.2 per hour.

Senior Platform Engineer

TechStarsGroup LLC

Atlanta, GA • Remote

$100K - $138K/yr

Full-time

Re-posted 4 days ago

Job description

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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