Senior Machine Learning Engineer

Posted 8 Days Ago
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Warsaw, Warszawa, Mazowieckie, POL
In-Office
Senior level
Artificial Intelligence • Software
The Role
Design, build, and operate scalable MLOps systems and workflows for large-scale distributed ML. Implement observability (Prometheus, Grafana, OpenTelemetry), CI/CD, container orchestration, and cloud infrastructure (AWS/GCP, Terraform). Collaborate with data scientists on LLM/generative AI deployment, review architectures, and mentor junior engineers.
Summary Generated by Built In
Company Description

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.

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 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.

Additional Information

What we offer: 

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

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
  • 5+ years professional experience in MLOps, DevOps, or Software Engineering building scalable reliable systems
  • Proficiency in Python and Linux
  • Experience designing and maintaining MLOps workflows including CI/CD pipelines and production optimization
  • Hands-on experience with Kubernetes (container orchestration) and containerization
  • Experience with cloud platforms (AWS and/or GCP) and infrastructure as code (Terraform)
  • Experience with streaming/messaging systems such as Kafka
  • Experience deploying and managing observability tools (Prometheus, Grafana, OpenTelemetry)
  • Strong knowledge of scalable distributed systems and multi-node computation optimization
  • Familiarity with software development best practices (TDD, systems thinking, CI/CD automation) and mentoring junior engineers
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The Company
HQ: Sydney
446 Employees
Year Founded: 2009

What We Do

Nearmap brings the real world to you. We capture, manage and deliver the most frequently-updated location content in the world, allowing businesses and governments to explore their environment easily. With Nearmap, organisations unlock opportunities that consistently inform decision making and transform the way they work. Delivered within days of capture our imagery is much higher resolution than satellite imagery and shows changes over time. Nearmap helps users save time and money, reduce site visits and make better informed decisions with current, clear imagery. Nearmap is delivered through our web-based MapBrowser or accessed via third party applications.

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