Data & AI Engineer – Lausanne / Zurich

Jobtailor; Lausanne; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Jobtailor in Lausanne seeks a data-focused software engineer with an MSc in Computer Science to work across cloud engineering, data pipelines, and ML projects.

You will collaborate with data scientists, engineers, and business stakeholders to design and implement solutions, and you will communicate results to diverse audiences. Travel up to 20% to meet clients in Europe is expected.

Qualifikationen

• MSc level in Computer Science or equivalent work experience.
• Proficient software engineering skills and fundamentals.
• Experience applying software engineering, ML, and statistics to real-world business problems.
• Programming experience in Python, R, Scala, or Java.
• Experience with cloud technologies.

Aufgaben

• Work on cloud engineering, data engineering, ML and data science projects.
• Collaborate with customers to understand challenges and implement solutions.
• Present results to technical and non-technical audiences.
• Contribute to engineering systems from PoCs to end-to-end data systems.
• Collaborate with data scientists, software engineers, and business stakeholders.

Kenntnisse

Cloud Engineering

Data Engineering

Machine Learning

Client-Facing Skills

Presentation Skills

Teamwork

Ausbildung

MSc in Computer Science

Tools

Python

R

Scala

Java

Cloud Technologies

Jobbeschreibung

• Work on diverse areas including cloud engineering and infrastructure, data engineering and ETL, machine learning, and data science
• Work with customers to understand challenges and design and implement solutions
• Evaluate, compare, and present results to technical and non-technical audiences
• Contribute to engineering systems at different scales, from proof-of-concepts to larger end-to-end data systems
• Collaborate with data scientists, software engineers, and business stakeholders
• Apply software best practices in continuous integration and delivery, versioning, and data evolution
• Work in multifunctional agile teams to experiment, iterate, and deliver new product objectives

Requirements

• MSc level in Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience
• Proficient software engineering skills and knowledge of computer science fundamentals
• Experience applying a blend of software engineering, machine learning, and statistical methods to real-world business problems
• Programming experience in Python, R, Scala, or Java
• Experience with cloud technologies
• Pragmatic attitude and willingness to take an active part in engineering aspects of projects
• Good presentation and communication skills, including explaining complex analytical concepts to people from other fields
• Understanding of teamwork
• Strong client-facing skills and comfort interacting with business and technical audiences
• Willingness to travel to meet clients and the team, mainly in Europe, up to 20% of the time
• Fluent French or/and German

Core Competencies

Demonstrates expertise in cloud engineering, data engineering, and machine learning, with strong software engineering skills and the ability to communicate complex concepts effectively to diverse audiences. Proficient in Python, R, Scala, or Java, and experienced in agile methodologies and continuous integration practices.

Highest-signal resume keywords

• Cloud Engineering
• Machine Learning
• Data Engineering
• Python Programming
• Client-Facing Skills

Hard Skills

• Software Engineering
• Statistical Methods
• ETL
• Data Science
• Continuous Integration
• Versioning
• Data Evolution
• Agile Methodologies
• Computer Science Fundamentals
• MSc in Computer Science

Soft Skills

• Communication Skills
• Teamwork
• Pragmatic Attitude
• Presentation Skills
• Client Interaction

Industry Keywords

• Data Engineering
• Machine Learning
• Statistical Analysis
• Business Problems
• Client Engagement

Tools & Technologies

• Cloud Technologies
• Data Systems
• Proof-of-Concepts
• Business Stakeholder Collaboration
• Multifunctional Teams