Job
- Level
- Experienced
- Location
- Berlin
- Working Model
- Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop AI-driven solutions for analyzing complex telecommunications data and build systems for automated decision-making. You will prototype, operationalize modern ML models, and evaluate their quality.
Job Technologies
Your role in the team
- We build AI platforms that transform complex telecom network data—including drive tests, voice quality, broadband diagnostics, and signaling 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.
- Design and build agentic AI systems and RAG pipelines that can reason over technical documentation and live network data.
- Übernehmen Sie die Verantwortung für Tests und Bewertungen, indem Sie Evaluationsdatensätze, Metriken und Benchmarks für Genauigkeit, Retrieval-Qualität, Latenz und Kosten entwickeln.
- 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.
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Our expectations of you
Qualifications
- Strong software engineering and programming skills, particularly in Python, with a focus on clean, well-structured, tested, and maintainable code.
- Gutes Verständnis für die Gestaltung und Entwicklung von agentischen KI-Systemen, einschließlich Orchestrierung, Tools, Speicher, Bewertung und Sicherheitsvorkehrungen.
- 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.
- Exposure to telecom, networking, signal processing, or other data-rich technical domains is a plus.
Experience
- 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 of 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.
- Experience in deploying 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 optimization of cost and latency is a plus.
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What 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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Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Nc Group
For nearly 20 years, NC GROUP has been dedicated to providing high-quality engineering services to the telecommunications industry. Our range of services covers everything from needs analysis and network strategic planning to implementation planning and realization, right through to operation and ongoing optimization.
Description
- Founding Year
- 1999
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Applied AI Scientist
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
