20 beste Stellen als software engineer (on site) in berlin, be – aktuell auf Personalsuche

ML Ops Engineer
Zeta Global —Berlin
- Informatik
- Wartung
- Master
- Flexible Arbeitszeiten
Technical Services Engineer - German Speaking
DeepHealth —Berlin
- 55.000 € – 75.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Wartung
Direkt bewerben
Member of Technical Staff - Agent Engineer
ellamind —Berlin
- 80.000 € – 125.000 € pro Jahr
- Vollzeit
- Künstliche Intelligenz
- Erfahrung im Bankwesen
Community Software Engineer | Remote | Europe
n8n —Berlin
- Vollzeit
- Homeoffice
- APIs
- Lebensversicherung
Robotics Engineer
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Senior Security Engineer (m/f/d) -Berlin
Qualcomm —Berlin
- Doktorat
- Informatik
- Java
Senior Software Engineer (m/f/d)
Buena —Berlin
- 90.000 € – 140.000 € pro Jahr
- Vollzeit
- APIs
Direkt bewerben
Field Installation Engineer (AI Startup)
Almetra —Berlin
- 45.000 € – 58.000 € pro Jahr
- Vollzeit
- Erfahrung mit Netzwerken
- Linux
- Produktion
- Flexible Arbeitszeiten
Senior Software Infrastructure Engineer, Build & Release
Rivian and Volkswagen Group Technologies —Berlin
- Vollzeit
- Informatik
- Linux
- Python
Mid Level Engineer - Business Operations
Monta —Berlin
- Bis zu 48.000 € pro Jahr
- Hybrides Arbeiten
- Künstliche Intelligenz
- Python
- Analytik
- Flexible Arbeitszeiten
- Kostenlose Verpflegung
4 Tage
Senior Platform Engineer (f/m/d)
bunch —Berlin
- Vollzeit
- DevOps
- AWS
- Flexible Arbeitszeiten
Senior Software Engineer, Data Transformation
Snowflake —Berlin
- Doktorat
- Informatik
- Master
Systems Engineer, Managed Operations, Managed Operations
AWS European Sovereign Cloud Development Center GmbH —Berlin
- Vollzeit
- DevOps
- AWS
- Scripting
Forward Deployed Engineer - Agents
ellamind —Berlin
- 50.000 € – 85.000 € pro Jahr
- Vollzeit
- Informatik
- Künstliche Intelligenz
- Wirtschaft
Senior Site Reliability Engineer
solarisBank AG —Berlin
- 75.000 € – 95.000 € pro Jahr
- Bereitschaftsdienst
- Informatik
- DevOps
- Englisch
10 Tage
Site Reliability Engineer
PlayStation Global —Berlin
- Bereitschaftsdienst
- Java
- AWS
- C++
Staff Data Analytics Engineer (m/f/d)
adsquare GmbH —Berlin
- 90.000 € – 100.000 € pro Jahr
- Vollzeit
- Java
- SQL
- AWS
Senior Software Engineer (m/f/d)
praxipal —Berlin
- 100.000 € – 130.000 € pro Jahr
- Vollzeit
- Master
- AWS
- Künstliche Intelligenz
Senior Software Engineer - Transaction Processing (Java, AWS, DynamoDB)
PPRO —Berlin
- Vollzeit
- Hybrides Arbeiten
- Java
- AWS
- APIs
- Mitgliedschaft im Fitnessstudio
1 Tag
mk8s Operations Engineering (M/W) - Berlin (IT) / Freelance
Mindquest —Berlin
- 400 € – 610 € pro Tag

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ML Ops Engineer

Zeta Global -
Berlin

Jetzt bewerben

Details zur Stelle

Leistungen

Flexible Arbeitszeiten

Qualifikationen

TensorFlow
CI/CD
Informatik
PyTorch
Spark
Wartung
Master
SQL
AWS
Docker
Machine Learning
APIs
Agile
gRPC
GitLab
Python

Vollständige Stellenbeschreibung

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

We’re looking for a skilled ML Engineer / Data Scientist with 3+ years of software or applied ML experience to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on AWS.This role sits at the intersection of data science and engineering: exploring data, developing models, running rigorous experiments, and bringing the best approaches into production with a reliable, reproducible workflow. If strong Python skills, curiosity about hard modeling problems, and collaborative work in multicultural teams are a fit, this is a chance to do meaningful, end-to-end ML work—not just notebooks, and not just infrastructure.

Who you are:

Strong foundation in machine learning, statistics and experiment design.
Experience building models for real business or product problems, not only academic benchmarks.
Comfortable working with structured and unstructured data: feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.
Able to compare approaches with clear metrics, error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).
Interest in modern ML, including classical ML, deep learning, and LLM / GenAI workflows where relevant (fine-tuning, RAG, evaluation, prompt/versioning).
Proficient in Python and able to write clean, modular, testable code.
Experience developing and deploying ML solutions in a cloud environment, especially AWS.
Comfortable moving from prototype to production: packaging models, building inference paths, monitoring performance, and iterating after launch.
Independent engineer who can own work from problem framing experimentation implementation rollout.
Excellent written and spoken English.
Enjoy working closely with engineers, product partners, and other data scientists.
Clear communicator who can explain methods, results, and limitations to technical and non-technical audiences.
Master’s degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar), or equivalent practical experience.

Nice to have:

Experience with scikit-learn, PyTorch, TensorFlow, XGBoost, or similar modeling stacks.
Familiarity with ML experiment tracking and reproducibility (e.g. MLflow, W&B).
Experience with SQL, data warehouses/lakes, and pipeline tools such as Airflow, dbt, or Spark.
Exposure to feature stores, embedding pipelines, or vector search for retrieval-based systems.
Experience building HTTP/gRPC APIs or lightweight services around model inference.
Working knowledge of Docker, basic orchestration, and CI/CD (e.g. GitLab CI).
Experience in agile, remote and async team environments.
Publications, patents, Kaggle/competition results, or open-source ML contributions.

What you might like about this role:

Hands-on modeling work with room to explore, benchmark, and improve real systems.
Collaboration on ML patent submissions and participation in weekly ML / research paper review meetings.
A multicultural, engineering-focused team with strong peer support.
High trust and autonomy—clear goals, freedom in how to reach them.
Internal product impact: meaningful projects that improve developer and user experience, not endless maintenance tickets.
Short approval cycles and solid product partnership.
A healthy meeting policy and emphasis on protecting focus time.
Flexible hours, remote/home office options, and a calm, engineers-only office when on-site.
Competitive compensation, including stock options.

We’re hiring across multiple levels. Title, scope, and compensation depend on experience—from strong applied ML generalists to senior people who can lead modeling direction and mentor others.

We’re especially interested in candidates who are technically strong, intellectually curious, and motivated by difficult, ambiguous problems where good data science and solid engineering both matter.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-NP1

Jetzt bewerben

Erweiterte Suche

software engineer (on site) Jobs in berlin, be

ML Ops Engineer

Technical Services Engineer - German Speaking

Member of Technical Staff - Agent Engineer

Community Software Engineer | Remote | Europe

Robotics Engineer

Senior Security Engineer (m/f/d) -Berlin

Senior Software Engineer (m/f/d)

Field Installation Engineer (AI Startup)

Senior Software Infrastructure Engineer, Build & Release

Mid Level Engineer - Business Operations

Senior Platform Engineer (f/m/d)

Senior Software Engineer, Data Transformation

Systems Engineer, Managed Operations, Managed Operations

Forward Deployed Engineer - Agents

Senior Site Reliability Engineer

Site Reliability Engineer

Staff Data Analytics Engineer (m/f/d)

Senior Software Engineer (m/f/d)

Senior Software Engineer - Transaction Processing (Java, AWS, DynamoDB)

mk8s Operations Engineering (M/W) - Berlin (IT) / Freelance

Ich möchte aktuelle Job-E-Mails für Stellen als software engineer (on site) in berlin, be erhalten

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