ZipRecruiter

Log In

1

Flexible Machine Learning Jobs in Decatur, GA (NOW HIRING)

Manhattan Associates

Principal AI Engineer

Atlanta, GA · On-site

They combine deep expertise in machine learning, data science, and software engineering with ... Ability to be flexible while delivering assignments with understanding that deliverables may change ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... Work with engineers to design and implement scalable machine learning pipelines, covering all ...

Dolby

Senior Generative AI Researcher

Atlanta, GA · On-site

... that is truly flexible to support where, when, and how you do your best work. The Advanced ... Deep knowledge on current machine learning literature. * Strong publication record, with ...

Invesco

Global Head of Advanced Engineering

Atlanta, GA · Hybrid

$173K - $223K/yr

Flexible paid time off * Hybrid work schedule * 401(K) matching of 100% up to the first 6% with a ... machine learning, and advanced engineering. This leader will drive enterprise-wide AI adoption and ...

Invesco

Global Head of Advanced Engineering

Atlanta, GA · On-site

$173K - $223K/yr

Flexible paid time off * Hybrid work schedule * 401(K) matching of 100% up to the first 6% with a ... machine learning, and advanced engineering. This leader will drive enterprise-wide AI adoption and ...

Dolby

Sr Researcher, Sight Lab

Atlanta, GA · On-site

... that is truly flexible to support where, when, and how you do your best work. The Advanced ... Research state-of-the-art computer vision and machine learning algorithms and prior art in the ...

Illinois Tool Works Inc

Machine Operator 2

Tucker, GA

$16 - $19/hr

Shared risk : collaborating as a team, taking joint responsibility, and learning from trial and ... Flexible and able to adjust to changing priorities or overtime when needed. * Positive attitude and ...

Illinois Tool Works Inc

Machine Operator 2

Tucker, GA · On-site

$16 - $19/hr

Shared risk : collaborating as a team, taking joint responsibility, and learning from trial and ... Flexible and able to adjust to changing priorities or overtime when needed. * Positive attitude and ...

ITW Pro Brands

Machine Operator 2

Tucker, GA · On-site

$16 - $19/hr

Shared risk : collaborating as a team, taking joint responsibility, and learning from trial and ... Flexible and able to adjust to changing priorities or overtime when needed. * Positive attitude and ...

next page

Showing results 1-20

All JobsMachine Learning JobsFlexible Machine Learning JobsFlexible Machine Learning Jobs in Decatur, GA

Flexible Machine Learning information

See Decatur, GA salary details

$24.9K

$41.6K

$85.9K

How much do flexible machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for flexible machine learning in Decatur, GA is $41,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle some tasks, MLEs are essential for creating complex models, interpreting results, and ensuring ethical implementation. AI may automate certain routine aspects, but the role of MLEs remains critical for innovation and system optimization in AI development.

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

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Flexible Machine Learning roles such as data scientists, machine learning engineers, and AI specialists are expected to persist as they require complex problem-solving, domain expertise, and ongoing adaptation that AI cannot fully replicate. These jobs often involve designing, implementing, and maintaining AI systems, which demand advanced skills in programming, statistics, and critical thinking. Continuous learning and proficiency with tools like Python, TensorFlow, or cloud platforms are essential for these roles to remain relevant.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in large tech companies or specialized AI firms.
What are the most commonly searched types of Machine Learning jobs in Decatur, GA? The most popular types of Machine Learning jobs in Decatur, GA are:
What are popular job titles related to Flexible Machine Learning jobs in Decatur, GA? For Flexible Machine Learning jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Flexible Machine Learning jobs in Decatur, GA look for? The top searched job categories for Flexible Machine Learning jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Flexible Machine Learning jobs? Cities near Decatur, GA with the most Flexible Machine Learning job openings:
Flexible Machine Learning jobs near you

Senior Data Platform Developer - AI Platform

Geotab

Atlanta, GA

Other

Medical, Dental, Retirement

Posted 4 days ago

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader - we would love to hear from you! 

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab's data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact
  • Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
  • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure.
  • Develop processes to enrich Geotab's big data with telematics data at scale.
  • Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
  • Create and maintain documentation for architecture, requirements, and process flows.
  • Support internal Geotab teams to assist with data integration with newly developed AI platforms.
What you'll bring to the role
  • Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
  • 3-5 years experience in a software developer or a similar role. 
  • 3-5 years experience in developing production-level systems using Python 3.
  • 3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
  • 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
  • Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
  • Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
  • Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
This posting is for an existing vacancy.
 
Why job seekers choose Geotab

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

Apply