Senior ML Platform Engineer for GenAI & Data, Hybrid

Geotab Inc.; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flex working arrangements

Home office reimbursement program

Baby bonus & parental leave top up

Online learning and networking

Electric vehicle purchase incentive

Medical and dental benefits

Retirement savings program

Job summary

Geotab Inc. is seeking a Senior Data Platform Developer to build and maintain internal ML platforms and GenAI solutions. You will enable data scientists and AI developers to train models, access large language models, and deploy GenAI agents for internal services and end customers.

You will collaborate across teams to design scalable data processing, logging, and monitoring for robust AI infrastructure, while contributing to data integration and documentation.

Qualifications

• 3–5 years experience as a software developer.

Responsibilities

• Develop and maintain new machine learning platforms and generative AI applications and agents.
• Implement logging, monitoring, and alerting to ensure health of AI platform infrastructure.
• Enrich big data with telematics data at scale.
• Collaborate with data scientists to understand data processing needs and build infra solutions.
• Create and maintain architecture docs and process flows.
• Support internal teams with data integration for AI platforms.

Skills

Python

Cloud platforms

AI/ML concepts

Big data

Education

Post-secondary Degree in CS/Software/Computer Engineering

Tools

Docker

Kubernetes

OpenShift

Langgraph

CrewAI

LiteLLM

Sourcegraph

Job description

Geotab Inc. is seeking a Senior Data Platform Developer to build and maintain internal ML platforms and GenAI solutions. You will enable data scientists and AI developers to train models, access large language models, and deploy GenAI agents for internal services and end customers.

You will collaborate across teams to design scalable data processing, logging, and monitoring for robust AI infrastructure, while contributing to data integration and documentation.