Senior Machine Learning Engineer

Warsaw - Poland

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Bachelors or Masters 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.

Collaboration & Leadership

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)

Remote Work :

Employment Type :

Full-time

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...

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

Bachelors or Masters 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.

Collaboration & Leadership

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)

Remote Work :

Employment Type :

Full-time

Key Skills

Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting

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About Company

Nearmap

The sky's not the limit at Nearmap. 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 ... View more

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