mlops engineer

ALMETRA

<div>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.<h2 class="jobSectionHeader"> 
Your role</h2><ul><li>
Develop and deploy computer vision models for real-world video and sensor applications</li><li>
Build reliable training, evaluation and inference pipelines for large-scale data</li><li>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</li><li>
Implement CI/CD, versioning and orchestration for ML pipelines</li><li>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</li><li>
Work with robotics and platform teams to ensure robust deployment at the edge</li></ul><h2 class="jobSectionHeader">
You are</h2><ul><li>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</li><li>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</li><li>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</li><li>
Familiar with distributed training, GPU management and inference optimisation</li><li>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</li><li>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience deploying CV models on edge devices or embedded systems</li><li>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</li><li>
Background in video analytics, action recognition or multi-modal perception</li><li>
Understanding of model orchestration frameworks and large data pipelines</li></ul><h2 class="jobSectionHeader"> 
Why this role matters</h2> 
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;80K - &euro;120K</div>

Senior Computer Vision Engineer (m/f/d)

<div>Platform Engineer
We're looking for a (Senior) Platform Engineer to own and evolve our infrastructure &mdash; with a focus on developer experience and the chance to get hands-on with AI systems.
What you'll do<ul><li>
Design and maintain cloud infrastructure on AWS using Terraform</li><li>
Own and improve CI/CD pipelines for fast, safe deployments</li><li>
Manage and scale Kubernetes clusters</li><li>
Improve developer experience &mdash; making it easy for teams to ship and debug</li><li>
Implement monitoring, logging and alerting for full observability</li><li>
Configure and optimise CDN infrastructure</li></ul>
You are<ul><li>
8-10 years of experience in DevOps, SRE or platform engineering roles</li><li>
Expertise in AWS</li><li>
Proficient with Terraform and infrastructure-as-code workflows</li><li>
Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)</li><li>
Solid understanding of Kubernetes &mdash; deployment, networking, scaling and troubleshooting</li><li>
Strong sysadmin fundamentals &mdash; Linux, networking, storage and configuration management</li><li>
Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)</li><li>
A clear communicator who works well across engineering and data science teams</li><li>
Pragmatic and reliable &mdash; you know when to move fast and when to be careful</li></ul>
Nice to have<ul><li>
Experience supporting ML infrastructure &mdash; model deployment, GPU workloads or training pipelines</li><li>
Background in CDN configuration (CloudFront, Fastly, Cloudflare)</li><li>
Familiarity with streaming data or video processing systems</li><li>
Interest in MLOps and bridging the gap between ML research and production</li></ul>
Why this role matters
You'll keep our systems running smoothly and help the team ship with confidence. And if you're curious about ML, you'll get real exposure to production AI systems.
#LI-SP1 #LI-Hybrid
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;70K - &euro;85K</div>

Platform Engineer (m/f/d) (AI Startup)

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Germany-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

Norwegian Refugee Council

<div>What we are looking for:
We're looking for an experienced Data Scientist to help shape the future of humanitarian action through CLEAR (Crisis Learning, Early Warning and Anticipatory Action) - NRC's open infrastructure designed to transform fragmented crisis data into timely, actionable intelligence. 
CLEAR brings together diverse data sources - including earth observation, conflict data, field reports, and market intelligence - into a shared, open, and federated platform that enables humanitarian teams to anticipate crises and act before they escalate. By closing the gap between insight and action, CLEAR empowers faster, smarter, and more effective humanitarian responses. 
As the Data Scientist, you will play a pivotal role in designing and deploying cutting-edge machine learning and deep learning solutions that support early warning systems and humanitarian decision-making. You will develop predictive models capable of identifying emerging crisis patterns, forecasting humanitarian needs, and transforming complex, multimodal datasets into practical insights for field operations.
This is a highly technical, hands-on role suited to someone who enjoys building, training, and fine-tuning AI models from the ground up. You are comfortable working in data-scarce, rapidly evolving environments, proactively sourcing and preparing data, and solving complex challenges where real-world impact matters.
Working closely with the AI Lead, software developers, and data engineers, you will contribute across the full machine learning lifecycle - from model development and optimisation to performance monitoring and deployment. You will also help shape the technical environment in which models are trained and refined, ensuring AI solutions are scalable, robust, and aligned with the operational realities of humanitarian response. 
What you will do:
Here are some of your specific responsibilities
<ul><li>Support the design and implementation of CLEAR&rsquo;s data architecture.
</li><li>Partner with developers and data engineers to design and stand up the environment needed to train and fine-tune models (including data ingestion pipelines, compute and GPU resources, experiment tracking and MLOps tooling) actively shaping that environment rather than waiting for it to be provided.
</li><li>Develop machine learning and deep learning models that integrate multiple data streams to detect early indicators of humanitarian crises, combining earth observation and satellite imagery, conflict event data, climate monitoring, economic indicators, and population movement patterns into unified risk assessment frameworks.
</li><li>Build computer-vision and remote-sensing models on satellite and aerial imagery (for example flood-extent mapping, building and settlement detection, displacement-site monitoring, infrastructure damage assessment and land-cover change detection) and fuse these earth observation outputs with non-imagery signals.
</li><li>Contribute to building automated alert systems that identify emerging crises, calibrating prediction algorithms for different crisis types.
</li><li>Create ensemble modelling approaches that combine traditional statistical methods with advanced AI techniques.
</li><li>Fine-tune and adapt foundation models and large language models to humanitarian use cases such as document triage, multilingual report analysis and situation summarisation.
</li><li>Explore venues for adapting models to evolving crisis conditions through reinforcement learning systems.
</li><li>Implement impact-based forecasting systems that translate meteorological, conflict, and economic predictions into specific humanitarian consequences such as displacement volumes, food insecurity levels, and infrastructure damage estimates.
</li><li>Build decision trees and recommendation engines that guide field staff through systematic needs assessment processes informed by predictive analytics and historical response data.
</li><li>Create automated reporting systems and interactive dashboards that enable field teams and leadership to access real-time data for rapid response activities.
</li><li>Any other tasks assigned by the CLEAR Technical Lead and AI Lead related to CLEAR data.
</li></ul>Please download the detailed job description to learn more about this position.
What you will bring:
<ul><li>Advanced degree in Data Science, Statistics, Computer Science, Physics, Engineering, Economics or a related quantitative field, with a minimum of 5 years of professional experience in applied data science.
</li><li>Demonstrated experience designing, training and fine-tuning deep learning models (e.g. CNNs, recurrent/sequence models and transformers), including how to structure training runs, manage compute, and diagnose and improve model performance.
</li><li>Advanced proficiency in Python for statistical analysis, machine learning and data manipulation, with experience in key libraries including pandas, NumPy, scikit-learn, TensorFlow, PyTorch and Keras.
</li><li>Strong SQL skills for database management and complex query optimization.
</li><li>Hands-on experience implementing supervised and unsupervised learning algorithms including regression models, classification techniques, clustering methods, and time series analysis.
</li><li>A proven track record of proactively sourcing and engineering data (finding, negotiating access to, cleaning and, where necessary, generating data).
</li><li>Experience designing and implementing ETL pipelines for processing datasets from multiple sources, with skills in data cleaning, transformation and quality assurance at scale.
</li><li>Ability to create automated reporting systems and dashboards using tools like Tableau, Power BI or similar platforms.
</li><li>Experience working with large, messy, real-world datasets.
</li><li>Understanding of model deployment and MLOps practices, and comfort working with engineers to provision the infrastructure models need.
</li><li>Fundamental skills with version control software and collaborative development.
</li><li>Fluency in written and spoken English. Other languages are an asset.
</li><li>Practical experience working in low-data or data-scarce settings, including transfer learning, few-shot learning, data augmentation and synthetic data generation to overcome limited training data.
</li><li>Experience implementing and fine-tuning large language models (LLMs) for applied tasks.
</li><li>Experience with natural language processing techniques for analyzing reports, social media or news data relevant to crisis monitoring.
</li><li>Experience using GenAI for automated analysis of large volumes of documents &mdash; extracting key themes, sentiment analysis and identifying emerging trends across multiple contexts and languages.
</li><li>Understanding of ensemble methods and explainable AI techniques for transparent decision-making.
</li><li>Experience working with earth observation and satellite imagery; optical (e.g. Sentinel-2, Landsat) and radar / SAR (e.g. Sentinel-1), alongside commercial high-resolution sources, and with geospatial tooling such as Google Earth Engine, rasterio / GDAL, xarray and geopandas.
</li><li>Applying computer vision and deep learning to imagery (semantic segmentation, object detection, change detection) for humanitarian tasks such as flood-extent mapping, damage assessment, settlement and displacement-site detection, infrastructure monitoring and population estimation (a strong asset).
</li><li>Experience with multimodal data fusion.
</li></ul>What we offer:
<ul><li>Duty station: Remote (Germany, France, UK or Belgium)
</li><li>Contract: Fixed term (2 years)
</li><li>Travel: Up to 10%
</li><li>Salary/benefits: Grade 9 on NRC&rsquo;s Resident salary scale, with accompanying terms and conditions.
</li><li>NRC is an equal opportunities employer. We are committed to diversity without distinction to age, gender, religion, ethnicity, nationality, and physical ability.
</li><li>We think outside the box, encourage ideas, and give responsibility to all employees at all levels. You will have many opportunities to be heard and take the initiative.
</li></ul>Find out more about the benefits of working for NRC
Important information about the application process
<ul><li>For Internal candidates: To apply as an internal candidate, log in with your official email or click on Opportunity Market Place.
</li><li>When creating your profile, include your full name as given on your passport. Complete all the system-required fields for experience, employment history and education.
</li><li>Submit your application and CV in English, taking care to attach your latest CV.
</li><li>Applications that do not meet the minimum standards in terms of experience or qualifications will generally not be considered. Unsolicited applications not related to this specific job advertisement will not be considered.
</li><li>We receive many applications for each vacant position and so only shortlisted candidates will be contacted.
</li></ul>If you have any questions about this role, please email ho.recruitment@nrc.no with the job title as the subject line.
Why NRC?
The Norwegian Refugee Council (NRC) is an independent humanitarian organisation helping people forced to flee. Our 15,000 staff work in crises across 40 countries, providing life-saving and long-term assistance to millions of people every year.
Watch this short video to see NRC in action.
We are looking for people who are passionate about helping refugees and people forced to flee. Are you one of those people? If you are, NRC offers you the opportunity to:
<ul><li>do demanding and professional work, often in challenging contexts.
</li><li>join a work culture that empowers every employee to share ideas and take responsibility.
</li><li>be part of a welcoming and supportive community committed to human dignity.</li></ul></div>
 <div><div>The Norwegian Refugee Council (NRC) is a global humanitarian organisation helping people forced to flee. 
</div><div></div> 
<div>Join us in assisting millions of people in areas where others cannot, tackling some of the world's most dangerous and difficult crises. Bring your skills and dedication to an organisation recognised for providing high quality aid and for defending the rights of refugees and internally displaced people. 
</div><div></div> 
<div>At NRC, we give responsibility to employees at all levels and foster professional growth and innovative teams. You can expect a supportive culture and an open dialogue with management. We are committed to diversity, equity and inclusion. 
</div><div></div> 
<div>Together, we save lives and rebuild futures. 
</div><div></div> 
<div>Safeguarding is central to NRC&rsquo;s work. We expect all employees to:
</div><ul><li>treat everyone with respect and dignity
</li></ul><ul><li>contribute to building a safe environment for all
</li></ul><ul><li>never engage in any form of exploitation, harassment and specifically sexual exploitation, abuse and sexual harassment (SEAH)
</li></ul><ul><li>always report. NRC has a zero-tolerance approach to inaction against exploitation, abuse and SEAH</li></ul></div>

Data Scientist

develop

<div>
 
 
 Senior DevOps Engineer | Berlin | FinTech | German (B2+)
 
 
 
 &euro;85,000 - &euro;100,000 per annum
 
 
 
 
 
 We're partnering with an innovative FinTech company in Berlin to hire a DevOps Engineer who is passionate about building scalable, secure, and reliable cloud infrastructure.
 
 
 
 
 
 
 What you'll do:
 
 
 
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines
 </li>
 <li>
 Automate infrastructure using Infrastructure as Code
 </li>
 <li>
 Manage and optimise cloud environments (AWS/Azure/GCP)
 </li>
 <li>
 Collaborate with development teams to improve deployment and reliability
 </li>
 <li>
 Monitor systems and drive performance and security improvements
 </li>
 </ul>
 
 
 
 
 
 What we're looking for:
 
 
 
 
 
 <ul>
 <li>
 Experience in DevOps, SRE, or Cloud Engineering
 </li>
 <li>
 Hands-on knowledge of Docker, Kubernetes, Terraform, and CI/CD tools
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 German language skills at B2 level or above and good English
 </li>
 <li>
 EU work authorisation is preferred
 </li>
 </ul>
 
 
 
 
 
 What's on offer:
 
 
 
 
 
 <ul>
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 Competitive salary and benefits
 </li>
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 Hybrid working in Berlin
 </li>
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 Opportunity to work on cutting-edge FinTech products
 </li>
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 Collaborative, international team with excellent career growth
 </li>
 </ul>
 
 
 
 
 Interested? Send me a message on LinkedIn or apply directly to learn more about this opportunity.
 
</div>

Senior DevOps Engineer

<div>
 
 
 Software Engineer | Java, AWS | Berlin | &euro;70k - &euro;85k | German B2+
 
 
 
 
 
 
 We're looking for a talented Software Engineer with a strong background in Java and AWS to join a fast growing team in Berlin.
 
 
 
 
 
 In this role, you'll develop and maintain scalable backend applications, contribute to the design of new features, and work closely with product managers, QA, and fellow engineers to deliver high-quality software. We're looking for someone who enjoys solving technical challenges, writing clean, maintainable code, and collaborating in an agile environment.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain high-quality Java applications and backend services
 </li>
 <li>
 Build and enhance RESTful APIs and integrate with internal and external systems
 </li>
 <li>
 Collaborate with cross-functional teams to deliver new features from concept through to production
 </li>
 <li>
 Write clean, maintainable, and well-tested code following engineering best practices
 </li>
 <li>
 Participate in code reviews and contribute to technical discussions and architectural decisions
 </li>
 <li>
 Troubleshoot, debug, and optimise applications to ensure performance and reliability
 </li>
 <li>
 Support continuous improvement of development processes and engineering standards
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong commercial experience developing applications with Java
 </li>
 <li>
 Experience building RESTful APIs and backend services
 </li>
 <li>
 Strong cloud experience with AWS
 </li>
 <li>
 Familiarity with relational databases and modern software development practices
 </li>
 <li>
 Experience working in Agile/Scrum teams
 </li>
 <li>
 German language skills at B2 level or above (required)
 </li>
 <li>
 Strong communication skills and a collaborative mindset
 </li>
 </ul>
 
 
 
 
 If you're interested please get in touch ASAP!
 
 
 
 
</div>

Senior Software Engineer

Crox

<div><h4 class="jobSectionHeader">DevOps Engineer (m/w/d) &ndash; 100% Remote | Deutschland</h4>
F&uuml;r ein modernes Cloud- und Infrastrukturunternehmen suchen wir einen DevOps Engineer (m/w/d), der Lust hat, hochverf&uuml;gbare Cloud-Plattformen zu entwickeln und zu betreiben.
Du arbeitest mit einem kleinen, erfahrenen Team an modernen Kubernetes-Umgebungen und gestaltest die technische Infrastruktur aktiv mit.<h5 class="jobSectionHeader">
Deine Aufgaben</h5><ul><li>
Aufbau, Betrieb und Optimierung von Kubernetes-Clustern</li><li>
Automatisierung und Weiterentwicklung der Infrastruktur</li><li>
Sicherstellung von Performance, Skalierbarkeit und Verf&uuml;gbarkeit</li><li>
Zusammenarbeit mit Entwicklung, DevOps und QA</li><li>
Mitgestaltung moderner Cloud-L&ouml;sungen und neuer Technologien</li></ul><h5 class="jobSectionHeader">
Das bringst du mit</h5><ul><li>
Mindestens 2&ndash;3 Jahre Berufserfahrung</li><li>
Sehr gute Kenntnisse in Kubernetes</li><li>
Flie&szlig;ende Deutschkenntnisse (C2)</li><li>
Erfahrung mit Linux (idealerweise Ubuntu)</li><li>
Kenntnisse in Docker sowie Cloud-Infrastrukturen</li></ul>
Idealerweise hast du au&szlig;erdem Erfahrung mit:<ul><li>
Ansible</li><li>
GitLab oder GitHub</li><li>
Prometheus</li><li>
Grafana</li><li>
Loki</li><li>
Talos</li><li>
Cilium</li><li>
Ceph</li></ul><h5 class="jobSectionHeader">
Das erwartet dich</h5><ul><li>
100 % Remote innerhalb Deutschlands</li><li>
Flexible Arbeitszeiten (32&ndash;40 Stunden/Woche)</li><li>
Jahresgehalt zwischen 55.000 &euro; und 75.000 &euro;</li><li>
30 Urlaubstage</li><li>
Budget f&uuml;r Weiterbildungen</li><li>
JobRad oder Jobticket</li><li>
Internetkostenzuschuss</li><li>
Kinderbetreuungszuschuss</li><li>
️ MacBook oder Hardware deiner Wahl</li><li>
Betriebliche Altersvorsorge</li><li>
Kleines, motiviertes Team mit kurzen Entscheidungswegen</li><li>
Moderne Technologien wie Kubernetes, Docker, Go und Cloud-native Tools</li></ul><h5 class="jobSectionHeader">
Warum diese Position?</h5>
Du arbeitest in einem vollst&auml;ndig remote organisierten Unternehmen mit klaren Prozessen, viel Eigenverantwortung und einem hohen technischen Anspruch. Statt Startup-Chaos erwarten dich moderne Technologien, flexible Arbeitsbedingungen und die M&ouml;glichkeit, deine Ideen aktiv einzubringen.
Interesse geweckt?
Dann freuen wir uns auf deine Bewerbung mit Lebenslauf. Wir melden uns zeitnah bei dir.</div>

DevOps Engineer (m/w/d) – 100% Remote | Deutschland

Explore 80+ Mlops engineer in Berlin this July. Find roles across top companies and apply now to boost your career.