Senior AI Engineer

ELCA Group

Switzerland · Full-time · Not Applicable

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.
- A degree from a technical university

What you bring

At least 5 years of experience in the AI field as a data scientist, ML engineer or similar position
A technical university degree
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

Key Skills

Ranked by relevance

machine learning cloud mlops ai data analysis tensorflow big data storage pytorch python pandas linux spark jira git aws

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