Senior Machine Learning Engineer

Nearmap; Warsaw (IN); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical care

Sport Card

MultiLife

Employee referral program

Nearmap subscription

Job summary

Nearmap is seeking an experienced Senior ML/AI Software Engineer to design, build, and scale MLOps workflows and distributed systems. You will deploy microservices and orchestration using Kubernetes, with strong focus on reliability and observability.

You will collaborate with data scientists and ML engineers on LLM and generative AI deployments, implement CI/CD, and mentor junior engineers while upholding engineering best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional experience in Machine Learning, MLOps, DevOps, or Software Engineering, focusing on scalable, reliable systems.
• Proficiency in Python and Linux with ability to design distributed systems.

Responsibilities

• Design, build, and maintain MLOps workflows, including CI/CD pipelines and production optimization.
• Develop microservices, queuing systems, APIs, and orchestration using Kubernetes.
• Implement observability with Prometheus, Grafana, and OpenTelemetry to ensure reliability and performance.
• Collaborate with data scientists and ML engineers on deploying LLMs and generative AI systems.
• Mentor junior and mid-level engineers and promote a culture of collaboration and excellence.

Skills

Python

Linux

MLOps

CI/CD

Distributed systems

Kubernetes

Terraform

AWS

GCP

Prometheus

Grafana

OpenTelemetry

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Terraform

OpenTelemetry

Prometheus

Grafana

Job description

Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward.

Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world.

Job Description

Execute software engineering tasks to support end-to-end machine learning operations, with a focus on scaling workflows for large data and distributed systems.

Design, build, and maintain MLOps systems, including microservices, queuing systems, APIs, and orchestration workflows using Python, Kubernetes, Kafka, and modern database systems.

Implement observability tools such as Prometheus and Grafana to ensure reliability, performance, and visibility of ML systems in production.

Collaborate closely with data scientists and machine learning engineers to streamline workflows for LLM, generative AI, and Agentic AI development and deployment.

Review architecture and implementation plans to ensure alignment with organizational goals, scalability, and best practices.

Mentor junior and mid-level engineers, fostering a culture of collaboration, innovation, and operational excellence.

Qualifications

Education & Experience

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

5+ years of professional experience in Machine Learning, MLOps, DevOps, or Software Engineering, with a focus on building scalable and reliable software systems.

Core Technical Expertise

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.

Observability & Reliability

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.

Proven ability to collaborate effectively with cross-functional teams, supporting data scientists and ML engineers in deploying and scaling ML models, including LLMs and generative AI systems.

Demonstrated capability in leading technical projects, mentoring junior and mid-level engineers, and fostering a culture of collaboration, innovation, and operational excellence.

Professional Attributes

Pragmatic approach: delivering efficient, real-world solutions while maintaining technical excellence.

Strong attention to detail with a focus on precision and robustness in system design and implementation.

Accountability for deliverables, adherence to company standards, and commitment to ethical guidelines.

Additional Information

What we offer:

• Medical care
• Sport Card (MultiSport)
• MultiLife (mental and physical wellbeing)
• Attractive employee referral program
• Nearmap subscription (naturally)