Applied AI Scientist(m/f/d)

Nc Group; Berlin; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Full-time

Flexible working hours

28 vacation days

Health & Sports Subsidy

Public transportation subsidy

Bike leasing (JobRad)

Regular team events

Zusammenfassung

NET CHECK GmbH in Berlin seeks an Applied AI Scientist to model complex telecom data with ML and agentic AI systems. You will prototype ML/aI solutions, create reliable tools for real users, and apply the latest AI advances.

Join a team building AI platforms for drive tests, voice quality, broadband diagnostics, and signalling analysis, with a focus on production-ready, scalable ML systems and strong engineering practices.

Qualifikationen

• PhD in physics, maths, CS, or related fields with modeling experience.
• Minimum 3 years building software or ML systems in industry or research.
• Hands-on AI agents and RAG experience in practice.
• Strong data science background using ML libraries and DL frameworks.
• Proficient Python with clean, tested, maintainable code.
• Understanding of agentic AI design, orchestration, memory, and guardrails.
• Willingness to stay current with AI developments and translate into solutions.
• Fluent English and strong collaboration skills.
• Experience deploying ML in the cloud, preferably AWS.

Aufgaben

• Design and build agentic AI systems and RAG pipelines over data and docs.
• Develop evaluation datasets, metrics, and benchmarks for quality.
• Improve evaluation, observability, and regression testing for AI systems.
• Turn data science insights into production-ready AI tools with MLOps.
• Develop ML models for classification, anomaly detection, and root-cause analysis.
• Write clean, well-tested code and raise engineering standards.
• Experiment with new AI models and technologies for production features.
• Collaborate with engineers, data experts, and domain specialists.

Kenntnisse

AI agents & RAG

Python programming

Machine learning & data science

Cloud ML deployment (AWS)

LLM tooling (LangGraph, Chroma, FAISS,

Agentic AI system orchestration

Research mindset

English communication

Software engineering (clean, tested)

Ausbildung

PhD in quantitative discipline

Tools

scikit-learn

XGBoost

LightGBM

LangGraph

Chroma

FAISS

LangSmith

Langfuse

Jobbeschreibung

About us

NET CHECK GmbH was founded in 1999 with the aim of improving the quality of communication networks. Since then, NET CHECK has developed into the leading partner of network operators and infrastructure providers of mobile and fixed networks of all technologies. Its core competencies include international network benchmarking (comparative measurements) as well as network planning and fault analysis. NET CHECK has one of Germany's largest crowdsourcing platforms, which generates over 144 million data points every day. Our commitment to quality and security has earned us the trust of scientific and government institutions. NET CHECK is headquartered in Berlin and is part of the NC GROUP, an owner-managed group of companies with a total of over 180 employees at five locations in Germany and one in Belgrade, Serbia.

Job Summary

We build AI platforms that transform complex telecom network data—including drive tests, voice quality, broadband diagnostics, and signalling analysis—into clear, actionable insights. We are looking for an Applied AI Scientist who combines strong analytical thinking with practical engineering skills. You will model complex problems, develop and prototype ML and agentic AI solutions, and turn them into reliable, production-ready tools for real users while applying the latest developments in AI.

Responsibilities

• Design and build agentic AI systems and RAG pipelines that can reason over technical documentation and live network data.
• Take ownership of testing and evaluation by developing evaluation datasets, metrics, and benchmarks for accuracy, retrieval quality, latency, and cost. Ensure system quality can be measured reliably and regressions are identified before reaching users.
• Develop and continuously improve our evaluation and observability practices, including offline and online evaluations, LLM-as-a-judge approaches where appropriate, regression testing, and quality dashboards for agentic AI and RAG systems.
• Turn data science insights into production-ready solutions, covering the full process from data analysis and modeling to well-tested, maintainable AI tools, including operationalization and MLOps.
• Develop and enhance machine learning models for classification, anomaly detection, root-cause analysis, and related use cases, and integrate them into the platform.
• Write clean, well-tested, and maintainable code, actively contributing to high engineering standards across the team.
• Research and experiment with new AI models, methods, and technologies, turning promising approaches into practical features and production solutions.
• Work closely with engineers, data specialists, and domain experts to develop effective solutions for real-world telecom challenges.

Your profile

• PhD in a quantitative discipline such as Physics, Mathematics, Computer Science, Engineering, Computational Chemistry/Biology, or a related natural science, with strong hands-on experience in mathematical and computational modeling.
• Minimum 3 years of experience developing software or machine learning systems in an industry or research environment, alongside or following your studies.
• Hands-on experience with AI agents and RAG, including building and implementing LLM-powered systems in practice.
• Strong background in data science and machine learning, with experience using tools and frameworks such as scikit-learn, XGBoost/LightGBM, and deep learning frameworks.
• Strong software engineering and programming skills, particularly in Python, with a focus on clean, well-structured, tested, and maintainable code.
• Good understanding of the design and development of agentic AI systems, including orchestration, tools, memory, evaluation, and guardrails.
• A strong research mindset and enthusiasm for keeping up with developments in AI and translating new approaches into practical solutions.
• Fluent English, combined with strong communication, collaboration, and teamwork skills.
• Experience productionizing ML solutions in the cloud, preferably AWS (e.g. Bedrock, ECS, S3), using modern AI and LLM tooling such as LangGraph, Chroma, FAISS, LangSmith, or Langfuse, including LLM evaluation, observability, prompt engineering, and cost and latency optimization is a plus.
• Exposure to telecom, networking, signal processing, or other data-rich technical domains is a plus.

We Offer

• Employment Type: Full-Time, indefinite term.
• Opportunity to shape AI strategy in a fast-growing organization with access to state-of-the-art AI tools, infrastructure, and research opportunities
• Flexible working hours.
• 28 vacation days.
• Health & Sports Subsidy: Sports membership subsidy.
• Public Transportation Subsidy: Monthly subsidy for a Germany-wide ticket.
• Bicycle leasing via JobRad.
• Regular Team Events.

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