Requirements

Expected technologies

Python

NLP

LLM

Pandas

NumPy

PyTorch

Our requirements

• Essential skills for this position will cover:
• You have several years’ experience delivering successful projects in your field (at least 4 years)
• Excellent coding ability in Python
• Ability to integrate models into production systems using APIs
• Deep Learning and Machine Learning project experience covering numerous algorithms and models:

Application of one or more of e.g. LGBM, XGBoost, GNN and / or LLMs Leverage LLMs from frameworks such as Hugging Face ML techniques like forecasting, regression, classification, anomaly detection, image object detection, text classification, text generation, root cause analysis, timeseries modelling Set-up and use of vector databases

• Application of one or more of e.g. LGBM, XGBoost, GNN and / or LLMs
• Leverage LLMs from frameworks such as Hugging Face
• ML techniques like forecasting, regression, classification, anomaly detection, image object detection, text classification, text generation, root cause analysis, timeseries modelling
• Set-up and use of vector databases
• Familiarization with Natural Language Processing (NLP)
• LLM Integration & Prompt Engineering
• Some Agentic AI development Experience (nice to have)
• Development and deployment of software solutions incorporating specific AI or ML-based models and techniques
• Data handling techniques in e.g. Polars, Pandas, NumPy etc.
• AI/ML algorithms, libraries, techniques, pipelines, and architectures
• Familiarization with one of PyTorch and TensorFlow
• Experience with deep Exploratory Data Analysis and result reporting
• Software design & development techniques incl. clean code, reviews, testing and deployment (a must!)
• Gitlab repositories and pipelines
• English language proficiency B2 or above. German language skills would be beneficial but not essential
• Nice to have skills will cover:
• Strong mathematical and statistical skills

SQL, Big Data infrastructure MLOps principles and frameworks

• SQL, Big Data infrastructure
• MLOps principles and frameworks
• Databases: e.g., Qdrant Vector Db, PostgreSQL
• Docker, Kubernetes, Linux, RESTful APIs
• Experience with GCP
• Radio access networks (RAN) including their system components, features, parameters and counters

Your responsibilities

• You should be a talented, motivated and enthusiastic individual keen to understand complex technical problems and apply your knowledge and skills to deliver customers’ requirements. Above all, you should enjoy working in a dynamic team and should be passionate to deliver results within the team. Ideally, you show initiative and have “can do” attitude.
• You will:
• Be a strong and transparent communicator able to work with customers to set goals, identify risks and prerequisites, report progress, present results and seek feedback.
• Prepare, explore and analyze data for model training using Python
• Train and test AI/ML models using various libraries and fine-tune their performance ready for deployment
• Work with an on-premises, Linux-based GPU computing platform and cloud-based instances, mainly GCP
• Enjoy working in an enriching international environment with a good work-life balance and opportunities to travel and grow