Senior Data Platform Developer - AI Platform

GEOTAB; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

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

Job summary

A leading technology company in Atlanta, Georgia is looking for a Senior Data Platform Developer to build and maintain machine learning and generative AI platforms. The ideal candidate will have expertise in Python, cloud systems, and data integration. Responsibilities include developing new platforms, implementing monitoring services, and working closely with data scientists. This position offers flexible working arrangements and a comprehensive benefits package, ensuring a great workplace culture.

Qualifications

• 3-5 years experience in a software developer or similar role.
• Experience in developing production-level systems using Python 3.
• Experience in developing services in GCP, AWS, or Azure.
• Experience in application containerization with Docker or Kubernetes.

Responsibilities

• Develop and maintain new machine learning platforms.
• Implement logging, monitoring, and alerting services.
• Enrich big data with telematics data at scale.
• Create and maintain documentation for architecture and process flows.

Skills

Python 3

Machine Learning

Cloud Systems (GCP, AWS, Azure)

Docker

Kubernetes

Big Data

Education

Post-secondary degree in Computer Science, Software or Computer Engineering

Tools

Google BigQuery

Ray

VertexAI

CrewAI

LiteLLM

Job description

Senior Data Platform Developer, AI Platform

Atlanta, Georgia - USA

Geotab® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Who you are

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.

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.

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.
• Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock is a big plus.
• Familiar with Big Data environments (e.g. Google BigQuery).

Benefits

• 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.

We encourage applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired.