AI Data Scientist

avec compétence (avecco) GmbH; Zug; Hybrid; CHF 120,000 - 190,000; Full time

Benefits offered by this job

Mobility allowance

Further training opportunities

Interim to permanent transition

Job summary

Try&Hire in Zug seeks an AI Data Scientist to design and operationalize machine learning and Generative AI solutions supporting engineering product development and decision-making.

You will build prototypes, evaluate LLM-based applications, and structure data from toolchains while aligning with cyber and DevSecOps practices. A strong English background is essential.

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

AI engineering

GenAI

Data pipelines

Education

Bachelor's/Master's in CS/DS/AI

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Job description

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

Your 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

What you bring

• 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

Conditions

• Workload: 80–100 %
• Work model: Hybrid
• Option of a permanent position after the assignment if both sides want it

What to expect

• 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

Technologies

• LLM
• RAG
• GenAI
• Machine Learning