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A growing tech startup is seeking an MLOps Engineer or Data Engineer to develop a platform for deploying AI-enhanced aerial surveillance. The ideal candidate will have a background in software engineering and experience with deep learning platforms. Competitive compensation and flexible work arrangements are available, with generous vacation and benefits.
Description
Do you enjoy building out data/MLOps platforms to support generating, deploying, and monitoring AI models? Are you interested in mentoring others and helping to bring out the best in those around you?
If so, we have an opportunity for you to guide our team's development efforts as we push the technical boundaries of AI.
This is your chance to innovate and work in a fast-paced environment, with opportunities for continuous learning (including in-house research discussions, conference visits, and other events), career growth, and flexible (or remote) work arrangements.
TerraSense is a well-established startup expanding its team. We seek self-driven individuals with strong interpersonal skills, including excellent verbal and written communication, capable of leading our team as we build our data platform.
If this opportunity interests you, we'd love to hear from you. We offer competitive pay, flexible vacation (six weeks), and flexible work hours.
Whether you prefer coding at a coffee shop or need time for personal commitments, we support your work-life balance. We also organize team outings, including weekly "Beer Thursday" gatherings, where we unwind and connect.
Below, you can learn more about our ideal candidate and our generous compensation package.
We're seeking an MLOps engineer with experience supporting AI solutions in production or a Data Engineer with industry experience supporting AI teams. You will work on creating a platform for deploying AI-enhanced aerial surveillance, supporting data ingestion, model training, and deployment. You will also collaborate with data scientists, machine learning engineers, and software engineers to deploy deep learning models on edge devices.
Nice to have qualifications include experience with Kubernetes deployment and building internal UI tools for workflow facilitation.
As TerraSense operates in aerospace and defense, a High-Level Security Clearance is required. You must meet the following criteria: