Senior Machine Learning Engineer
Actively Hiring
Full-time Posted 19 days ago
Responsibilities
- check_circle Execute software engineering tasks to support end-to-end machine learning operations, with a focus on scaling workflows for large data and distributed systems
- check_circle Design, build, and maintain MLOps systems, including microservices, queuing systems, APIs, and orchestration workflows using Python, Kubernetes, Kafka, and modern database systems.
- check_circle Implement observability tools such as Prometheus and Grafana to ensure reliability, performance, and visibility of ML systems in production
- check_circle Collaborate closely with data scientists and machine learning engineers to streamline workflows for LLM, generative AI, and Agentic AI development and deployment.
- check_circle Review architecture and implementation plans to ensure alignment with organizational goals, scalability, and best practices.
- check_circle Mentor junior and mid-level engineers, fostering a culture of collaboration, innovation, and operational excellence
Basic qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of professional experience in MLOps, DevOps, or Software Engineering, with a focus on building scalable and reliable software systems.
Preferred qualifications
- Proficiency in Python and Linux, with strong knowledge of designing scalable, distributed systems.
- Hands-on experience in designing, implementing, and maintaining MLOps workflows, including CI/CD pipelines, monitoring, and production optimization.
- Strong background in cloud computing (AWS/GCP), infrastructure as code (Terraform), containerization, and orchestration (Kubernetes).
- Solid understanding of modern software development practices such as test-driven development (TDD), systems thinking, and CI/CD automation.
- Experience deploying and managing observability tools such as Prometheus, Grafana, and OpenTelemetry to ensure high reliability and performance in production ML systems.
- Expertise in scaling and optimizing distributed systems for large-scale, multi-node computations.
Benefits
- check_circle Sport Card (MultiSport)
- check_circle Medical care
- check_circle MultiLife (mental and physical wellbeing)
- check_circle Attractive employee referral program
- check_circle Nearmap subscription (naturally)
About the company
Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it.
We move fast, we care about craft, and we're proud of what we're building. If you're energized by turning hard problems into real-world impact, we'd love to meet you.
Tags & Focus Areas
Fulltime Machine Learning Mlops Ai
About Nearmap
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