SENIOR LLM / GEN AI DEVELOPER

Next-Link; Zürich; Vor Ort; CHF 90’000 - 120’000; Vollzeit

Zusammenfassung

A leading company in Zurich is seeking a skilled data scientist to build and optimize machine learning models and data pipelines. Candidates should have strong expertise in Python and familiarity with NLP and data processing tools. This role involves collaboration, mentorship, and the capacity to derive actionable insights from complex datasets.

Qualifikationen

• Strong experience with machine learning and NLP techniques.
• Excellent communication and organizational skills.
• Mentorship experience and strong problem-solving capabilities.

Aufgaben

• Build data pipelines from ingestion to visualization.
• Develop AI-based applications using LLMs and cloud tools.
• Perform sentiment analysis and present insights from data.

Kenntnisse

Python3

Pandas

Numpy

Pytorch

Tensorflow

Machine Learning

Natural Language Processing

SQL

Data Processing

Generative AI

Data Visualization

Tools

Docker

ONNX

Azure

Jobbeschreibung

Python3, libraries like Pandas, Numpy, Pytorch, Tensorflow, Scipy, Seaborn, Dash, pySpark, machine learning libraries (Scikit-learn, NLTK, Spacy). Knowhow on Descriptive and Predictive Analytics (Regressions, Decision trees, Random Forest, SVM, Ensemble, Mixture of Experts).

NLP : Experience with Natural Language Processing and Natural Language Understanding, Data Processing (Data wrangling, cleansing), Embeddings, Generative AI, prompt engineering, Large Language Models, Langchain / Semantic Kernel (preferred).

Data Access - SQL

Packaging : ONNX, Pickle, Docker Images

Responsibilities :

• Ability to build a full data pipeline from data ingestion to processing / transformation to load to visualization and analysis.
• Strong experience with descriptive and predictive data mining tasks, as well as key ML and NLP algorithms and techniques.
• Develop and build modern AI-based applications using LLMs, RAG, and modern cloud tools.
• Proficient in using Azure tools for building LLM, RAG, Agentic applications.
• Perform sentiment analysis, topic modeling, NER, and text classification.
• Identify and present insights and trends through data analysis.
• Experience with large cross-sectional and time series data, with a strong foundation in statistical concepts.
• Excellent communication skills, with the ability to work independently and collaboratively across functions, demonstrating strong problem-solving and critical thinking capabilities.
• Excellent organizational skills and ability to drive scrum ceremonies when required.
• Mentoring team members and sharing knowledge.

Requirements : (Note: The specific requirements are not provided in the original description; please specify the necessary qualifications and skills here.)