machine learning scientist

Xenon7

<div><p><b>About us:</b></p><p>
Where elite tech talent meets world-class opportunities!</p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><p>
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional <b>AI &amp; ML Professionals </b>ready to solve real-world problems and shape the future of intelligent systems.</p><p></p><p><b>
Location:</b> Remote (Europe - CET)<br>
<b>Experience:</b> 5+ Years</p><p><b>
Project Duration:</b> ~ 2 months (B2B contract)<br>
<b>Availability:</b> Immediate Joiner</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking a visionary and highly skilled <b>Senior Data Scientist</b> to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.</p><p></p><ul><li><b>
Architect Document Intelligence Solutions:</b> Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li><b>
Develop LLM &amp; Retrieval Systems:</b> Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li><b>
End-to-End ML Pipelines:</b> Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li><b>
Bridge Chemistry &amp; AI:</b> Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li><b>
Cloud Architecture &amp; Deployment:</b> Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li><b>
Cross-Functional Collaboration:</b> Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li><b>
Professional Experience:</b> 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li><b>
Domain Expertise:</b> A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.</li><li><b>
Core Technical Stack:</b> Advanced proficiency in <b>Python</b> and deep hands-on experience with the <b>AWS cloud stack</b> (e.g., SageMaker, Lambda, S3, EC2).</li><li><b>
Generative AI &amp; Search:</b> Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and <b>vector databases</b> (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li><b>
ML/DL Mastery:</b> Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li><b>
Document Processing (Plus):</b> Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li><b>
Soft Skills:</b> Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul><br>
<b>
Benefits</b><p><br>
At Xenon7, we're not just building AI systems&mdash;we're building a community of talent with the mindset to lead, collaborate, and innovate together.</p><ul><li>
<b>Ecosystem of Opportunity:</b> You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.</li><li>
<b>Collaborative Environment: </b>Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.</li><li>
<b>Flexible &amp; Impact-Driven Work: </b>Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes&mdash;not hours. Autonomy, ownership, and curiosity are encouraged here.</li><li>
<b>Talent-Led Innovation: </b>We believe communities are strongest when built around real practitioners. Our Innovation Community isn&rsquo;t just a knowledge-sharing forum&mdash;it&rsquo;s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.</li></ul></div>

Senior Data Scientist - Europe

Zalando

<div><div>Ort</div><div>
Germany - Berlin</div><div>
Vertrag</div><div>
Full time</div><div>
Job-Kategorie</div><div>
Applied Science &amp; Research</div></div>
<br><div><div><p><b>Junior Applied Scientist (all genders) - B2B Data Science and Algorithms</b></p><p></p><p>
The ZEOS department is responsible for all partner-facing Zalando Logistics Solutions. We provide a holistic approach to delivering the fulfillment solutions that meet our partner&rsquo;s needs by unifying these services under a single umbrella. We aim to provide our partners with a profitable fulfillment experience, and we see that to do this, Machine Learning, Operations Research, and data-driven solutions will play a pivotal role.</p><p></p><p>
We are seeking a highly motivated Junior Applied Scientist who is fueled by the desire to kickstart their career by building innovative and impactful ML/Optimization systems for our B2B logistics partners. You will join an established team of Senior Applied Scientists and Machine Learning Engineers, working in a cross-functional setup with Product Managers, Data Engineers, and Software Engineers.</p><p></p><p>
The team&rsquo;s focus is helping our B2B partners improve inventory health and order fulfillment efficiency. With guidance and mentorship from senior team members, you will contribute to building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services, and emerging Agentic AI systems. You will play a key role in a cross-functional team where your eagerness to learn and grow will directly translate into value for our partners!</p><p></p><p><b>
WHY YOU SHOULD BE INTERESTED&hellip;</b></p><ul><li><p>
Learn and Impact from Day One: You won't be stuck doing busywork. You will be an active scientific partner, working alongside experienced scientists and product teams to define problems and build solutions. Your fresh perspective will help identify new opportunities to create value for our partners.</p></li><li><p>
Tackle Complex Scientific Problems with Expert Guidance: This is your chance to bridge the gap between academia and industry. You'll tackle cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems while receiving the mentorship needed to succeed.</p></li><li><p>
Explore Emerging Tech like Agentic AI: As we explore opening up MCP servers to our partners, you will assist in defining how we measure their performance. You will contribute to implementing evaluation frameworks (e.g., LLM-as-a-judge, safety guardrails) to ensure autonomous systems act reliably.</p></li><li><p>
Grow into End-to-End Ownership: You will have the opportunity to follow ideas from initial research and prototyping to production. You will learn how to define success metrics, collaborate with engineers to deploy scalable services, and monitor real-world impact on partner KPIs.</p></li><li><p>
Drive Impact at a Multi-Merchant Scale: Your contributions will help build platform-level services that scale across hundreds of diverse partners, shaping the future of a more sustainable and efficient e-commerce logistics network.</p></li></ul><p><b><br>
WE&rsquo;D LOVE TO MEET YOU IF&hellip;</b></p><ul><li><p>
Educational background in a quantitative field; Masters degree or higher preferred.</p></li><li><p>
Up to 2 years of hands-on experience (including internships, working student roles, or significant academic/thesis projects) applying scientific methods to solve complex problems.</p></li><li><p>
A solid theoretical foundation and practical exposure in at least one of the following areas:</p></li><li><p>
Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers).</p></li><li><p>
Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations).</p></li><li><p>
Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing).</p></li><li><p>
Agentic AI &amp; MCP evaluation frameworks</p></li><li><p>
Proficiency in SQL and Python, with some exposure to working with datasets.</p></li><li><p>
Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders.</p></li><li><p>
A collaborative, growth-oriented mindset. You have a passion for learning by doing and are not afraid to ask questions.</p></li><li><p>
You thrive in our team's core value: &ldquo;High Challenge, High Support&rdquo;! We cherish an open, direct feedback culture and are here to help you develop into a world-class scientist.</p></li></ul><p></p><p><b>
INCLUSIVE BY DESIGN</b></p><p></p><p>
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.</p><p>
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.</p><p>
do.BETTER - our diversity &amp; inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion</p><p></p><p><b>
OUR OFFER</b></p><ul><li><p>
Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.</p></li><li><p>
Employee shares program</p></li><li><p>
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners</p></li><li><p>
2 paid volunteering days per year</p></li><li><p>
27 days of vacation a year to start for full-time employees</p></li><li><p>
Family services, including counseling and support</p></li><li><p>
Health and wellbeing options (including Wellhub, formerly Gympass)</p></li><li><p>
Mental health support and coaching available</p></li><li><p>
Drive your development through our training platform and biannual peer-to-peer review</p></li></ul></div><div><b>
Recruiter</b><p>
Casimir Udegbunam</p><p>
casimir.udegbunam@zalando.de</p></div><div><p>
 Nach der Pr&uuml;fung werden unsere Recruiter*innen &uuml;ber eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.</p><p>
In einigen F&auml;llen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich f&uuml;r eine Stelle zu bewerben oder an einem Vorstellungsgespr&auml;ch teilzunehmen.</p></div></div><p></p>
<br><div></div><div><div><div><h2 class="jobSectionHeader"><b>&Uuml;ber </b><b>Zalando</b></h2><p>
Zalando wurde 2008 in Berlin gegr&uuml;ndet und ist die f&uuml;hrende europ&auml;ische Technologieplattform f&uuml;r Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund*innen mit mehr als 7.000 Marken in 29 M&auml;rkten. Unser Gesch&auml;ft basiert auf einer einzigartigen, KI-gest&uuml;tzten Daten- und Infrastrukturplattform. F&uuml;r unsere Kund*innen bietet unser Multi-App-Ansatz &ndash; bestehend aus Zalando, ABOUT YOU und Lounge by Zalando &ndash; ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis. F&uuml;r unsere Partner bauen wir das Betriebssystem f&uuml;r den E-Commerce. &Uuml;ber ZEOS, Tradebyte und SCAYLE &ouml;ffnen wir unsere Logistik-, Software- und Servicekapazit&auml;ten f&uuml;r Marken und Einzelh&auml;ndler*innen zur nahtlosen, grenz&uuml;berschreitenden Skalierung ihres Gesch&auml;fts.</p></div></div></div>

Junior Applied Scientist (all genders)

Norwegian Refugee Council

<div><p><b>What we are looking for:
</b></p><p>We're looking for an experienced <b>Data Scientist </b>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.<br>
</p><p></p><p>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.<br>
</p><p></p><p>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.
</p><p>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.
</p><p>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.<br>
</p><p></p><p><b>What you will do:
</b></p><p><b><i>Here are some of your specific responsibilities
</i></b></p><ul><li><p>Support the design and implementation of CLEAR&rsquo;s data architecture.
</p></li><li><p>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.
</p></li><li><p>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.
</p></li><li><p>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.
</p></li><li><p>Contribute to building automated alert systems that identify emerging crises, calibrating prediction algorithms for different crisis types.
</p></li><li><p>Create ensemble modelling approaches that combine traditional statistical methods with advanced AI techniques.
</p></li><li><p>Fine-tune and adapt foundation models and large language models to humanitarian use cases such as document triage, multilingual report analysis and situation summarisation.
</p></li><li><p>Explore venues for adapting models to evolving crisis conditions through reinforcement learning systems.
</p></li><li><p>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.
</p></li><li><p>Build decision trees and recommendation engines that guide field staff through systematic needs assessment processes informed by predictive analytics and historical response data.
</p></li><li><p>Create automated reporting systems and interactive dashboards that enable field teams and leadership to access real-time data for rapid response activities.
</p></li><li><p>Any other tasks assigned by the CLEAR Technical Lead and AI Lead related to CLEAR data.
</p></li></ul><p>Please download the <b>detailed job description </b>to learn more about this position.
</p><p><b>What you will bring:
</b></p><ul><li><p>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.
</p></li><li><p>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.
</p></li><li><p>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.
</p></li><li><p>Strong SQL skills for database management and complex query optimization.
</p></li><li><p>Hands-on experience implementing supervised and unsupervised learning algorithms including regression models, classification techniques, clustering methods, and time series analysis.
</p></li><li><p>A proven track record of proactively sourcing and engineering data (finding, negotiating access to, cleaning and, where necessary, generating data).
</p></li><li><p>Experience designing and implementing ETL pipelines for processing datasets from multiple sources, with skills in data cleaning, transformation and quality assurance at scale.
</p></li><li><p>Ability to create automated reporting systems and dashboards using tools like Tableau, Power BI or similar platforms.
</p></li><li><p>Experience working with large, messy, real-world datasets.
</p></li><li><p>Understanding of model deployment and MLOps practices, and comfort working with engineers to provision the infrastructure models need.
</p></li><li><p>Fundamental skills with version control software and collaborative development.
</p></li><li><p>Fluency in written and spoken English. Other languages are an asset.
</p></li><li><p>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.
</p></li><li><p>Experience implementing and fine-tuning large language models (LLMs) for applied tasks.
</p></li><li><p>Experience with natural language processing techniques for analyzing reports, social media or news data relevant to crisis monitoring.
</p></li><li><p>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.
</p></li><li><p>Understanding of ensemble methods and explainable AI techniques for transparent decision-making.
</p></li><li><p>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.
</p></li><li><p>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).
</p></li><li><p>Experience with multimodal data fusion.
</p></li></ul><p><b>What we offer:
</b></p><ul><li><p>Duty station: Remote (Germany, France, UK or Belgium)
</p></li><li><p>Contract: Fixed term (2 years)
</p></li><li><p>Travel: Up to 10%
</p></li><li><p>Salary/benefits: Grade 9 on NRC&rsquo;s <b>Resident </b>salary scale, with accompanying terms and conditions.
</p></li><li><p>NRC is an equal opportunities employer. We are committed to diversity without distinction to age, gender, religion, ethnicity, nationality, and physical ability.
</p></li><li><p>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.
</p></li></ul><p>Find out more about the benefits of working for NRC
</p><p>Important information about the application process
</p><ul><li><p>For Internal candidates: To apply as an internal candidate, log in with your official email or click on Opportunity Market Place.
</p></li><li><p>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.
</p></li><li><p>Submit your application and CV in English, taking care to attach your latest CV.
</p></li><li><p>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.
</p></li><li><p>We receive many applications for each vacant position and so only shortlisted candidates will be contacted.
</p></li></ul><p>If you have any questions about this role, please email <b>ho.recruitment@nrc.no </b>with the job title as the subject line.
</p><p><b>Why NRC?
</b></p><p>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.
</p><p>Watch this short video to see NRC in action.
</p><p>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:
</p><ul><li><p>do demanding and professional work, often in challenging contexts.
</p></li><li><p>join a work culture that empowers every employee to share ideas and take responsibility.
</p></li><li><p>be part of a welcoming and supportive community committed to human dignity.</p></li></ul></div><p></p>
<br><div><div>The Norwegian Refugee Council (NRC) is a global humanitarian organisation helping people forced to flee.<br>
</div><div></div><br>
<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.<br>
</div><div></div><br>
<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.<br>
</div><div></div><br>
<div>Together, we save lives and rebuild futures.<br>
</div><div></div><br>
<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><p></p>

Data Scientist

primaholding GmbH

<div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>primaholding</b><br>
<b>Das sind wir</b></h2>
<p>Als international vertretene Unternehmensgruppe mit insgesamt vierzehn Tochtergesellschaften in drei L&auml;ndern begeistern wir uns f&uuml;r innovative, kundenfreundliche Produkte in den Bereichen Energie und Telekommunikation. Abgerundet wird das Profil der primaholding durch unsere Gesellschaft f&uuml;r Telemarketingdienstleistungen.</p>
<p>Dabei bildet nicht nur die langj&auml;hrige Erfahrung die Basis f&uuml;r unseren Erfolg, sondern vor allem die Kombination aus einem umfassenden Produktportfolio und zuvorkommendem Kundenservice. Gemeinsam mit einer Vielzahl an kompetenten Mitarbeitern setzen wir uns jeden Tag mit viel Begeisterung f&uuml;r die Ziele der primaholding ein und schaffen es nicht zuletzt durch den gezielten Know-how-Transfer zwischen der primaholding und den elf Tochterunternehmen, unseren Kunden und Vertriebspartnern immer wieder innovative L&ouml;sungen zu bieten. Dar&uuml;ber hinaus gelingt es uns, durch das Angebot unserer beiden Komplettversorger f&uuml;r den Haushalt, Ma&szlig;st&auml;be zu setzen und damit eine attraktive Alternative zu den &uuml;brigen Anbietern im Bereich Energie und Telekommunikation darzustellen.</p>
<p>Auf der Basis des deutschlandweiten Wachstums aller Tochtergesellschaften ist die primaholding seit einigen Jahren auch in der Schweiz und in &Ouml;sterreich aktiv. Damit wird der Erfolg unserer Tochtergesellschaften international vereint und punktet auch bei allen Kunden in unseren s&uuml;dlichen Nachbarl&auml;ndern jederzeit mit &uuml;berzeugenden Angeboten zu fairen Konditionen sowie einem hervorragenden Kundenservice.</p></div></div></div></div></div></div></div></div></div></div>
<br><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Wachstum</b><br>
<b>und Zukunft</b></h2>
<p>Mit unserem Namen verbindet sich eine bemerkenswerte Erfolgsgeschichte, deren Grundstein bereits im Jahr 2003 mit dem Markteintritt der heutigen Tochtergesellschaft primacall gelegt wurde. Seit der Entstehung der primaholding im Jahr 2008 w&auml;chst die gesamte Unternehmensgruppe in allen Gesch&auml;ftsbereichen sowohl wirtschaftlich als auch strukturell rasant. Dass wir bei der Erreichung unserer ambitionierten Ziele sehr erfolgreich sind, spiegelt sich nicht nur in der Zufriedenheit unserer Kunden und der Entwicklung der primaholding wider. Unsere Gesch&auml;ftsfelder stetig zu erweitern sowie die Effektivit&auml;t interner Abl&auml;ufe fortw&auml;hrend zu optimieren, ist ein Anspruch, den wir jeden Tag gemeinsam verfolgen.</p>
<p>Umso mehr freut es uns, dass die primaholding im Rahmen der Kampagne &bdquo;FT 1000&ldquo; von der Financial Times unter die 1000 wachstumsst&auml;rksten Unternehmen in Europa gew&auml;hlt wurde. Sehr stolz sind wir ebenfalls &uuml;ber die erneute Auszeichnung von voxpark mit dem TOP-JOB-Award als einer der besten Arbeitgeber im deutschen Mittelstand.</p></div></div></div></div></div></div><p></p>
<br><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Gemeinsam</b><br>
<b>Gro&szlig;es erreichen</b></h2>
<p>Als dynamisches und zukunftsorientiertes Unternehmen wissen wir, dass interessierte Menschen von heute die besten Mitarbeiter von morgen sind. Deshalb unterst&uuml;tzen wir alle Talente so fr&uuml;h wie m&ouml;glich mit individuellen Ma&szlig;nahmen und geben unabh&auml;ngig von Alter und Herkunft jedem die M&ouml;glichkeit, sich bestm&ouml;glich einzubringen.</p>
<p>Wenn Sie sich also sowohl pers&ouml;nlich als auch fachlich weiterentwickeln und dabei anspruchsvolle Aufgaben &uuml;bernehmen m&ouml;chten, sind Sie bei der primaholding genau richtig! Neben der Unterst&uuml;tzung und F&ouml;rderung der individuellen Kompetenzen jedes einzelnen Mitarbeiters spielt bei uns auch die Zufriedenheit der Mitarbeiter eine zentrale Rolle. F&uuml;r uns geh&ouml;ren eine angenehme Arbeitsatmosph&auml;re und motivierte Mitarbeiter zu den wichtigsten Faktoren f&uuml;r den langj&auml;hrigen Erfolg und das gro&szlig;e Wachstum der Unternehmensgruppe in allen Gesch&auml;ftsbereichen. Um diesen Standard weiter zu erhalten, optimieren wir die primaholding als Arbeitgeber kontinuierlich mit Hilfe von Feedback und sind stets offen f&uuml;r neue Vorschl&auml;ge, W&uuml;nsche, Lob und Kritik unserer Mitarbeiter. Besonders stolz sind wir darauf, dass sich diese Philosophie auch auf unabh&auml;ngigen Bewertungsportalen wie kununu widerspiegelt. Es freut uns, dass unsere Unternehmensgruppe damit nicht nur f&uuml;r Mitarbeiter, sondern auch f&uuml;r Bewerber einen attraktiven Arbeitsplatz darstellt.</p></div></div></div></div></div></div>
<br><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Unsere Mitarbeiter</b><br>
<b>sind uns wichtig</b></h2>
</div><div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>foodji</b></h3><div><p>
Subventioniertes frisches Mittagsessen,<br>
Snacks und Getr&auml;nke</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Attraktive Mitarbeiter-Benefits</b></h3><div><p>
Satte Rabatte und Zusatzleistungen<br>
auf unsere Strom- &amp; Gastarife,<br>
Mobilfunk-Flatrates, Festnetz &amp; Internet</p>
</div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Top Lage</b></h3><div><p>
unmittelbar am<br>
U-Bahnhof Alt-Mariendorf</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>Parkpl&auml;tze und e-Ladestationen</b></h3><div><p>
stehen f&uuml;r Ihr Fahrzeug zur Verf&uuml;gung</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Paketservice</b></h3><div>
private Pakete ins B&uuml;ro liefern lassen</div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>moderner Arbeitsplatz</b></h3><div><p>
in einer Top-Umgebung<br>
mit netten Kollegen</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>flexible Arbeitszeiten</b></h3><div><p>
f&uuml;r eine angenehme<br>
Work-Life-Balance</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>frisches Obst und Gem&uuml;se</b></h3><div><p>
und eine gro&szlig;e<br>
Auswahl an Snacks</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>erstklassige Kaffee- und Teespezialit&auml;ten</b></h3><div><p>
sowie gek&uuml;hltes Wasser<br>
und Mineralwasser</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>regelm&auml;&szlig;ig Teamevents</b></h3><div><p>
und eine j&auml;hrliche<br>
primaholding-Party</p></div></div></div></div></div></div></div></div></div></div></div></div></div>
<br><div><div><div><div>AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d)</div><div>
primaholding GmbH</div><div>
IT &amp; Entwicklung</div></div></div><div><h3 class="jobSectionHeader"><b>
AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d) &ndash; KI, Automatisierung &amp; intelligente Gesch&auml;ftsprozesse</b></h3></div><div><div>
Sehr geehrte Damen und Herren,</div></div><div>
<div></div><div><div><div>Wir suchen zum n&auml;chstm&ouml;glichen Zeitpunkt einen</div>
<h3 class="jobSectionHeader"><b>AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d)</b></h3>
<div>AID0626HP</div>
<div><div><div><div>Ihre Aufgaben</div><ul>
<li>Entwicklung und Implementierung intelligenter Automatisierungs- und KI-L&ouml;sungen f&uuml;r verschiedenste Unternehmensbereiche</li>
<li>Integration von KI-L&ouml;sungen in bestehende Unternehmenssysteme und Gesch&auml;ftsprozesse &uuml;ber APIs und Automatisierungsplattformen</li>
<li>Konzeption, Einf&uuml;hrung und Optimierung von Chatbot- und Voicebot-L&ouml;sungen f&uuml;r Vertrieb und Kundenservice</li>
<li>Entwicklung intelligenter Workflows zur Verarbeitung und Steuerung von Kundenanliegen aus E-Mail, Briefpost, Telefonie und weiteren Kommunikationskan&auml;len</li>
<li>Entwicklung von KI-gest&uuml;tzten Workflows, Agentensystemen und Entscheidungslogiken zur Automatisierung von Gesch&auml;ftsprozessen</li>
<li>Auswahl der jeweils sinnvollsten Technologien f&uuml;r den Anwendungsfall &ndash; von klassischer Prozessautomatisierung bis hin zu modernen KI- und LLM-L&ouml;sungen</li>
<li>Kontinuierliche Analyse und Optimierung bestehender KI-Anwendungen anhand von Nutzungsdaten, Qualit&auml;tskennzahlen und Business-KPIs</li>
</ul></div></div><div><div><div>Ihr Profil</div><ul>
<li>Abgeschlossenes Studium in den Bereichen Informatik, K&uuml;nstliche Intelligenz, Maschinelles Lernen, Computer Science, Data Science, Wirtschaftsinformatik oder in einer vergleichbaren Fachrichtung bzw. eine vergleichbare Qualifikation</li>
<li>Gute Kenntnisse im Bereich K&uuml;nstliche Intelligenz, insbesondere Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG) oder Agentensysteme</li>
<li>Erfahrung in der Entwicklung von Automatisierungs- und Softwarel&ouml;sungen, idealerweise mit Python und modernen API-Architekturen</li>
<li>Erfahrung in der Entwicklung von KI-gest&uuml;tzten Anwendungen, Agentensystemen und intelligenten Automatisierungsl&ouml;sungen sowie im Einsatz moderner Frameworks zur Integration von Sprachmodellen und Unternehmenssystemen ist von Vorteil.</li>
<li>Verst&auml;ndnis f&uuml;r Gesch&auml;ftsprozesse und die F&auml;higkeit, diese durch intelligente Automatisierung effizienter zu gestalten</li>
<li>Begeisterung f&uuml;r neue Technologien und die Bereitschaft, innovative Ans&auml;tze pragmatisch in die Praxis umzusetzen</li>
<li>Analytisches Denkverm&ouml;gen sowie eine strukturierte und l&ouml;sungsorientierte Arbeitsweise</li>
<li>Eigeninitiative, Kreativit&auml;t und Freude daran, neue Ideen bis zur produktiven Umsetzung voranzutreiben</li>
<li>Ausgezeichnete Deutschkenntnisse in Wort und Schrift sowie gute Englischkenntnisse</li>
</ul></div></div></div><div><div><div>Wir bieten Ihnen</div><ul>
<li>Eine hohe Sicherheit in einem unbefristeten Arbeitsverh&auml;ltnis</li>
<li>Eine kompetente Einarbeitung und jederzeit verf&uuml;gbare Ansprechpartner</li>
<li>Eigenverantwortliches Arbeiten</li>
<li>Interkulturelle und interdisziplin&auml;re Teams</li>
<li>Moderne Arbeitspl&auml;tze auf dem technisch neusten Stand in Wohlf&uuml;hlatmosph&auml;re</li>
<li>Sehr gute Verkehrsanbindung und ein eigener Parkplatz mit kostenloser Ladestation</li>
<li>Erstklassige Kaffee- und Teespezialit&auml;ten sowie Obst zum freien Verzehr</li>
<li>Die M&ouml;glichkeit, sich private Pakete ins B&uuml;ro zustellen zu lassen</li>
<li>Subventioniertes frisches Mittagessen, Snacks und Getr&auml;nke</li>
<li>Attraktive Mitarbeiter-Benefits, z. B. satte Rabatte und Zusatzleistungen auf unsere Strom &amp; Gas Tarife, Mobilfunk Flatrates, Festnetz &amp; Internet&hellip;</li>
</ul>
</div></div></div><div><div><p>Sie m&ouml;chten mit uns gemeinsam durchstarten?</p>
<p>Dann senden Sie Ihre vollst&auml;ndigen Bewerbungsunterlagen unter Angabe der Kennziffer und des fr&uuml;hestm&ouml;glichen Eintrittstermin bitte direkt &uuml;ber unser Online-Formular anFrau Jonscher.</p>
<p><i>Wir freuen uns auf Ihre Bewerbung!</i></p></div></div></div></div></div><p></p>

AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. ä. (m/w/d)

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (Germany-based)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <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)

ALMETRA

<div><p>Join us in reshaping manufacturing with advanced tech like computer vision and AI!</p><p>
As a <b>Senior/Staff Robotics Engineer (m/f/d)</b>, you will be integral in driving our company's next phase of innovation - automating industrial processes to address the scarcity of skilled labor. We have already proven our ability to optimize processes and increase efficiency, and now we are determined to automate tasks within industrial environments. Your main focus will be on R&amp;D and will involve building and showcasing a demonstrator that utilizes industrial robot arms to automate currently manual tasks.</p><p>
You have a strong background in state of the art in robotic manipulation, extensive experience in modeling, planning, and controlling robotic systems, as well as applying machine learning techniques to enhance robotic manipulation capabilities.</p><p></p><p><b>
Your role</b></p><ul><li><p>
Lead R&amp;D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.</p></li><li><p>
Work with industry-standard hardware platforms (e.g., ROS-compatible robots, specific sensor suites) to develop and deploy robotic manipulators for real world testing.</p></li><li><p>
Develop and implement models for hybrid dynamical systems exhibiting both continuous and discrete dynamic behaviors, specifically in robotic manipulators.</p></li><li><p>
Design advanced planning algorithms to optimize manipulation tasks such as pick-and-place operations.</p></li><li><p>
Experience with supervised learning, unsupervised learning, and reinforcement learning techniques to improve manipulation performance in robots.</p></li><li><p>
Previously trained RL models in both simulated and real-world environments with continuous action and state spaces.</p></li><li><p>
Design and develop middleware and software solutions tailored for robotic manipulation applications.</p></li><li><p>
Optimize software architecture for efficient communication between sensors, processors, and actuators in robotic manipulators.</p></li><li><p>
Develop perception algorithms for object pose estimation, matching, and instance segmentation to aid in manipulation tasks.</p></li><li><p>
Utilize deep learning techniques for end-to-end and self-supervised grasping, enhancing the robot's autonomous manipulation capabilities.</p></li><li><p>
Experience with integration between hardware components, including tactile sensors, force sensors, vision systems (e.g., RGB-D cameras), and depth sensors to optimize communication protocols and data flow for efficient robotic operations.</p></li></ul><p></p><p><b>
Your profile</b></p><ul><li><p>
Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field, with a strong emphasis on robotics.</p></li><li><p>
Minimum of 1-2 years of experience in robotics research or development.</p></li><li><p>
Proven experience in modeling, planning, and controlling hybrid dynamical systems for robotic manipulation.</p></li><li><p>
Hands-on experience with machine learning techniques applied to robotic manipulation tasks.</p></li><li><p>
Experience with robotic perception technologies and deep learning frameworks as applied to manipulation.</p></li><li><p>
Strong programming skills in C++, Python, and familiarity with ROS (Robot Operating System).</p></li><li><p>
Experience with simulation tools such as Nvidia Isaac SIM, Gazebo, V-REP, CUDA for robotic manipulation.</p></li><li><p>
Proficiency with machine learning libraries like TensorFlow or PyTorch.</p></li><li><p>
Fluency in English is mandatory.</p></li></ul><p><b>
What we offer</b></p><p>
Employee Share Options Program for all permanent employees*</p><p>
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p>
Be on the forefront in defining what artificial intelligence means in manufacturing</p><p>
Gain hands-on experience in working in an AI-first software company
</p><p>Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p>
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p>
Network with professionals and leaders in the field, opening doors to potential future career opportunities</p><p>
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours</p><p>
Ethics: We are committed to developing ethical AI software<br>
<br>
<b>Don't meet all the requirements?</b></p><p><i>
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.</i></p><ul><li><br>
<i>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.</i></li></ul></div>

Senior/Staff Robotics Engineer (m/f/d)

UNITY Consulting & Innovation

Berlin
<br><br>
deutschlandweit
<br><br>
Frankfurt a. M.
<br><br>
Hamburg
<br><br>
Köln
<br><br>
München
<br><br>
Nürnberg
<br><br>
Paderborn
<br><br>
Stuttgart
<br><br>
Präsenz / Mobil
<br><br>
Praktikum
<br><br>
Vollzeit
<br><br>
<b>Publiziert:</b> 02.07.2026
<br><br>
Bereit für ein Praktikum, das den Einstieg in die Welt von Data & AI bietet? Tauche ein in die innovative Arbeitsumgebung von UNITY und entfalte dein Talent im Bereich moderner KI-Technologien und Softwarelösungen.
<br><br>
Werde Teil eines Teams , das sich mit Leidenschaft für komplexe Aufgaben einsetzt und Innovationen vorantreibt.
<br><br>
Das erwartet dich
<br><br>
Gestalte Softwarearchitekturen und setze diese gemeinsam mit dem Team in skalierbaren und produktionsnahen Lösungen für Kunden um.
<br><br>
Trage zur Weiterentwicklung von State-of-the-Art Machine-Learning-Services bei, indem du bei der Ergebnisprüfung unterstützt.
<br><br>
Entwickle gemeinsam mit unseren Data Consultants innovative Data Services zur Generierung datengetriebener Mehrwerte.
<br><br>
Setze Kundenanforderungen mithilfe von Agentic Coding effizient und zielgerichtet um
<br><br>
Dokumentiere , analysiere und präsentiere Arbeitsergebnisse strukturiert und adressatengerecht gegenüber den Stakeholdern.
<br><br>
Das bringst du mit
<br><br>
Im Backend (Python, Node.js o. ä.) und/oder Frontend (React, Vue o. ä.) hast du beim Aufbau einer KI-Applikation mitgeholfen.
<br><br>
Erste Erfahrung in der Entwicklung KI-basierter Anwendungen , insbesondere mit Large Language Models (LLMs), Prompt Engineering und Agentic-Coding-Patterns.
<br><br>
Wichtig! Prägnanz in Kommunikation und Präsentation auf Deutsch oder Englisch (ab B2-Niveau).
<br><br>
Gute Studienleistungen in deinem bereits fortgeschrittenen Bachelorstudium der (Wirtschafts-) Informatik, Data Science, KI oder vergleichbarer technischer Fokus.
<br><br>
<b>Außerdem hilfreich für deinen Erfolg bei UNITY:</b> Praktische Erfahrung in Cloud-Platfformen (z.B AWS, Azure oder GCP), Grundkenntnisse in SQL oder Vektordatenbanken sind von Vorteil.
<br><br>
Kein 100%iges Match? - Kein Problem! Wir unterstützen dich gern in deiner persönlichen und fachlichen Weiterentwicklung. Also worauf wartest du noch?
<br><br>
Das bieten wir dir
<br><br>
… die Möglichkeit, den Alltag in der technologiegetriebenen Beratung durch die Mitarbeit in anspruchsvollen AI- und Data-Projekten praxisnah kennenzulernen.
<br><br>
Dabei werden grundlegende Methoden der Daten- und KI-Entwicklung vermittelt und direkt im Projektkontext angewendet. Es werden erste Erfahrungen in Kundenprojekten gesammelt sowie Einblicke in moderne Technologien, Machine-Learning-Ansätze und Softwarearchitekturen gewonnen. Gleichzeitig erfolgt ein kontinuierlicher Wissenstransfer durch erfahrene Berater und Entwickler.
<br><br>
Folgende weitere Benefits kannst du ebenfalls genießen.
<br><br>
Verwirklichung eigener Ideen im Standort oder in den Projekten. Werde Teil unserer Nachhaltigkeitsinitiativen oder nehme an (Sport-)Veranstaltungen und Reisen teil.
<br><br>
Flexible Arbeitsmodelle passend zu deinem Studium.
<br><br>
Programm students@UNITY, in dem du dich mit UNITIES über ganz Deutschland verbinden kannst.
<br><br>
<b>Unsere Standorte, an denen du deutschlandweit arbeiten kannst:</b> Berlin, Frankfurt a. M., Hamburg, Köln, München, Nürnberg, Paderborn/Büren oder Stuttgart.
<br><br>
Bewirb dich jetzt mit wenigen Klicks. ​
<br><br>
<ul>
<li>UNITY lebt Vielfalt und Chancengleichheit. Bei uns ist jeder unabhängig von Herkunft, Geschlecht, sexueller Orientierung, Handicap, Religion und Alter willkommen.</li>
</ul>
Dein persönlicher Kontakt
<br><br>
Bei Rückfragen zum Bewerbungsprozess freut sich Markus (Candidate Experience Management) auf deine Kontaktaufnahme.
<br><br>
Markus Stephan
<br><br>
+49 221 789587-728

Praktikum AI Engineer

Explore 43+ Machine learning scientist in Berlin this July. Find roles across top companies and apply now to boost your career.