Loading...
SeniorFull-timePythonKubernetesMicroservicesMachine LearningAIML
Salary Range
$46,410 - $62,790 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an MLOps Engineer to support end-to-end machine learning operations and scale workflows for large data and distributed systems.
Key Responsibilities
- →Execute software engineering tasks to support machine learning operations
- →Design, build, and maintain MLOps systems including microservices, queuing systems, APIs, and orchestration workflows
- →Implement observability tools such as Prometheus and Grafana
- →Collaborate with data scientists and ML engineers to streamline workflows
- →Review architecture and implementation plans
- →Mentor junior and mid-level engineers
Requirements
- ✓Experience with Python, Kubernetes, and Kafka
- ✓Knowledge of modern database systems
- ✓Familiarity with observability tools like Prometheus and Grafana
- ✓Understanding of MLOps principles and practices
- ✓Experience with LLM, generative AI, and Agentic AI development
- ✓Strong software engineering background
- ✓Ability to mentor junior engineers
Free to sign up. Takes 30 seconds.
About Nearmap
Nearmap is a technology company specializing in aerial imagery and geospatial data solutions, operating at the intersection of geographic information systems (GIS) and digital mapping. Founded in Australia, the company has established itself as a leader in providing high-resolution, frequently updated aerial imagery and 3D data to various industries. By leveraging advanced aerial capture technology and sophisticated data processing, Nearmap delivers accurate, real-world insights that enable businesses and governments to make informed decisions. Its services are designed to transform how organizations visualize, analyze, and interact with their physical environment, particularly in sectors requiring precise spatial data. The company’s primary offerings include high-resolution aerial imagery, 3D models, and geospatial data analytics, all updated multiple times a year to ensure current information. Key features of Nearmap’s platform include automated workflows, customizable data layers, and integration with existing GIS and CAD systems, allowing users to streamline workflows and enhance project efficiency. Target audiences include infrastructure managers, urban planners, real estate developers, and environmental consultants who rely on accurate, up-to-date spatial data for planning, monitoring, and decision-making. Nearmap’s solutions are particularly valuable for projects requiring detailed site analysis, asset management, or regulatory compliance. Nearmap has distinguished itself through its commitment to innovation and data accuracy, serving clients across North America, Australia, and New Zealand. The company’s frequent data updates and advanced aerial capture technology provide a competitive edge, enabling users to access the latest information for critical projects. By combining cutting-edge technology with a deep understanding of geospatial needs, Nearmap has positioned itself as a trusted partner for organizations seeking reliable, actionable insights from aerial data. Its unique value proposition lies in its ability to deliver scalable, high-quality geospatial solutions that drive efficiency and precision in complex industries.
