AI Data Scientist

avec compétence GmbH; Zug; Hybrid; CHF 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Mobility allowance

Further training opportunities

Interim to permanent contract

Job summary

avec compétence GmbH is seeking an AI Data Scientist to design and operationalize machine learning and Generative AI solutions that support engineering product development and decision making.

You will design, validate and deploy ML/GenAI across the development lifecycle, build evaluation pipelines for LLM apps, retrieve data from toolchains, and ensure cybersecurity considerations are embedded. Fluency in English is required. The position offers hybrid work and mobility allowance.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, AI, Statistics, Mathematics or related field
• Minimum 5 years hands‑on experience in data science, machine learning or AI engineering
• Good understanding of data engineering foundations including pipelines, APIs, databases and versioning
• Strong practical experience with programming languages and data science/ML ecosystems
• Understanding of software/firmware development lifecycles, DevSecOps and cybersecurity considerations
• Hands‑on exposure to Generative AI, LLM applications, prompt engineering and retrieval‑augmented generation
• Fluent in English

Responsibilities

• Design, develop and validate machine learning, GenAI and analytics solutions across the development lifecycle
• Support AI-assisted and agentic capabilities across requirements, coding, testing and vulnerability management
• Build prototypes and evaluation pipelines for LLM-based applications, RAG solutions and prediction models
• Acquire, clean and structure data from engineering toolchains, repositories and documentation
• Define evaluation approaches, performance metrics and validation methods for AI models
• Create reusable datasets, embeddings, feature stores, notebooks and pipelines
• Explore emerging AI and data science techniques and assess applicability for engineering use cases

Skills

Data science

Machine learning

GenAI

Python

Data pipelines

DevSecOps

Prompt engineering

Education

Master's degree in Data Science / CS / AI

Tools

Python

SQL

Pytorch

APIs

Job description

As an AI Data Scientist you design and operationalize machine learning and Generative AI solutions supporting engineering product development and decision‑making.

Tasks

• Design, develop and validate machine learning, GenAI and analytics solutions across the development lifecycle
• Support AI-assisted and agentic capabilities across requirements, coding, testing and vulnerability management
• Build prototypes and evaluation pipelines for LLM-based applications, RAG solutions and prediction models
• Acquire, clean and structure data from engineering toolchains, repositories and documentation
• Define evaluation approaches, performance metrics and validation methods for AI models
• Create reusable datasets, embeddings, feature stores, notebooks and pipelines
• Explore emerging AI and data science techniques and assess applicability for engineering use cases

Profile

• Bachelor's or Master's degree in Data Science, Computer Science, AI, Statistics, Mathematics or related field
• Minimum 5 years hands‑on experience in data science, machine learning or AI engineering
• Good understanding of data engineering foundations including pipelines, APIs, databases and versioning
• Strong practical experience with programming languages and data science/ML ecosystems
• Understanding of software/firmware development lifecycles, DevSecOps and cybersecurity considerations
• Hands‑on exposure to Generative AI, LLM applications, prompt engineering and retrieval‑augmented generation
• Fluent in English

Offer

• Hybrid work model with 2-3 days per week of mobile working
• Mobility allowance
• Further training opportunities
• 3–6 months interim, then a permanent position

Company

Smart building technology