Senior Data Scientist

ELCASecurity; Schweiz; Hybrid; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

Elcasecurity is seeking a Senior AI Engineer to take technical lead on data science and AI/ML projects in Switzerland. You will design, develop and implement end-to-end solutions and communicate results to stakeholders.

You will model complex business problems with ML, build data pipelines, and maintain MLOps to automate training, deployment and monitoring. Collaboration with IT and engineering teams and mentoring junior data scientists are key aspects of the role.

Qualifikationen

• A degree from a technical university.
• At least 5 years of experience in AI as a data scientist, ML engineer or similar.
• Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch), data analysis tools (pandas) and MLOps tools (MLflow).
• Knowledge of Windows, Linux, network tech, data storage, web services and software collaboration tools (Git, JIRA, Teams).
• Knowledge of cloud technologies (Azure, AWS, Google Cloud) and big data platforms (Spark, Databricks) is an advantage.
• Strong analytical and problem-solving skills; travel around Romandie; excellent French/English communication.

Aufgaben

• Lead design, development and implementation of AI/ML projects.
• Realize end-to-end data science and AI/ML projects from requirement to delivery.
• Model complex business problems with ML and optimize models.
• Create data pipelines to prepare raw data for training and inference.
• Maintain MLOps pipelines to automate training, deployment and monitoring.
• Collaborate with IT and engineering teams and mentor junior data scientists.

Kenntnisse

Strong analytical and problem-solving

Excellent communication

Fluent in French and English

Willing to travel in Romandie

Ausbildung

Degree from a technical university

Tools

Python

scikit-learn

TensorFlow

PyTorch

pandas

MLflow

Windows

Linux

Git

JIRA

Microsoft Teams

Azure

AWS

Google Cloud

Spark

Databricks

Jobbeschreibung

In this role

• As a Senior AI Engineer, you will take the technical lead in exciting data science and AI/ML projects. You will be responsible for the design, development and implementation of solutions in these areas.
• Realize end-to-end data science and AI/ML projects from requirement to delivery
• Analysis and modelling of data as well as evaluation and communication of the results to various stakeholders
• Model complex business problems with machine learning: You will select appropriate methods and models, adapt them to customer data and optimize them if necessary
• Create processes and data pipelines to prepare raw data for model training and inference
• Create, maintain, and optimize MLOps pipelines to automate model training, deployment, and monitoring
• Close cooperation with interdisciplinary IT and engineering teams
• Imparting technical know-how and supervising junior data scientists.

What you bring

• A degree from a technical university
• At least 5 years of experience in the AI field as a data scientist, ML engineer or similar position
• Sound knowledge of Python or other programming languages. Experience with data science and machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch), data analysis tools (e.g. pandas) and MLOps tools (e.g. MLflow)
• Sound knowledge of Windows, Linux, network technology, data storage, web services as well as software engineering and collaboration tools (e.g. Git, JIRA, Microsoft Teams)
• Knowledge of cloud technologies (Azure, AWS, Google Cloud) and big data platforms (e.g. Spark, Databricks) is an advantage
• Strong analytical and problem-solving skills.
• Flexibility to travel around Romandie
• Good communication skills, ability to create and sustain client relationships
• Fluent in French and English

What we offer

• A stimulating and professional working environment in a dynamic team with extensive expertise
• Exciting projects and challenging problems to solve using the latest technologies
• Flat organizational hierarchies and cross-functional teamwork
• Close contact with customers in diverse industries
• A supportive culture with excellent opportunities for professional and personal development