MLOps Engineer for a Sustainability SaaS

TN Germany; Berlin; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

An innovative firm is seeking an experienced MLOps Engineer to enhance AI initiatives within a fast-growing sustainability SaaS. This role involves deploying, monitoring, and continuously improving machine learning models in production, ensuring their scalability and reliability. Join a dynamic team dedicated to contributing to a zero-carbon future while working with cutting-edge tools in a flexible environment. If you are passionate about sustainability and technology, this opportunity offers the chance to make a significant impact in the construction industry.

Leistungen

Flexible hours

Remote work options

Professional development opportunities

Social events

Dynamic team environment

Qualifikationen

• Strong experience in deploying and maintaining machine learning models.
• Solid understanding of cloud platforms and monitoring best practices.

Aufgaben

• Deploy and monitor AI models in production environments.
• Collaborate with cross-functional teams to streamline the ML lifecycle.

Kenntnisse

MLOps practices

Cloud platforms (AWS preferred)

Docker

CI/CD pipelines

MLflow

Model retraining workflows

Monitoring machine learning models

Collaboration skills

Tools

Docker

AWS

MLflow

Jobbeschreibung

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MLOps Engineer for a Sustainability SaaS, Berlin

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Client:

One Click LCA

Location:

Berlin, Germany

Job Category:

-

EU work permit required:

Yes

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Job Reference:

a0f70a04d9bc

Job Views:

2

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

One Click LCA is a Helsinki-based tech company decarbonizing construction and manufacturing with world-leading, easy-to-use, and automated life-cycle assessment (LCA) to calculate and reduce the environmental impacts of building, infrastructure, and renovation projects — as well as construction and other manufactured products. It also enables manufacturers to generate and publish third-party verified EPDs and allows assessment of circularity, life-cycle cost, and soon also biodiversity.

One Click LCA is used in +170 countries. Its decarbonization platform includes a unique global database with +250,000 LCA datasets, and it supports +80 standards and certifications, including LEED, BREEAM, GRESB and other national regulations.

Founded in Finland in 2001, One Click LCA has a team of +230 people across all continents.
Learn more at: www.oneclicklca.com

We are looking for an experienced Machine Learning Operations Engineer to join our fast-growing team. In this role, you will be responsible for deploying, monitoring, re-training, and governing AI models and solutions in production environments. Your work will be crucial in ensuring the scalability, reliability, and continuous improvement of our AI initiatives.

Why One Click LCA

One Click LCA is the world-leading and rapidly growing life-cycle assessment software for the construction industry, used in over 170 countries. It integrates all leading standards, data, and design tools globally.

Join a supportive, effective, and mission-oriented team in a flexible, friendly work environment. Work with cutting-edge tools and collaborate with world-class professionals to address one of the world's biggest challenges.

This full-time, permanent position is available on a hybrid basis for candidates based in Helsinki or remotely within Europe.

What you will do:

• Deploy machine learning models and AI solutions to testing and production systems
• Monitor the performance and health of deployed models, ensuring stability and reliability
• Develop and manage pipelines for model re-training
• Implement robust monitoring, logging, and alerting systems for AI models in production
• Collaborate with AI developers, data scientists, software engineers, and DevOps Engineers to streamline the ML lifecycle

What you need:

• Strong experience in MLOps practices, including deployment, monitoring, and maintenance of models
• Solid understanding of cloud platforms and services (AWS preferred)
• Proficiency with tools such as Docker, CI/CD pipelines, MLflow, or similar
• Experience with model retraining workflows and production data management
• Knowledge of best practices in monitoring machine learning models in live environments
• Ability to work independently and collaboratively across cross-functional teams

What we offer:

• Work in a growing business contributing to a zero-carbon future
• Flexibility with no fixed hours and remote work options
• Technical challenges, responsibility, and visible results of your work
• Competitive compensation and professional development opportunities
• A dynamic, friendly, motivated, and diverse team of top professionals
• Great colleagues, social events, and a chance to contribute to market transformation

Interested?

Apply by 20 May 2025. Applications are reviewed as received, so prompt applications are encouraged.