Senior AI Engineer: Lead Data Science & MLOps

ELCA Switzerland and Europe; Pully; On-site; CHF 140,000 - 190,000; Full time

Job summary

ELCA Switzerland and Europe is seeking a Senior AI Engineer to take the technical lead on data science and AI/ML projects. You will drive end-to-end delivery from requirement gathering to deployment, modeling complex business problems and creating data pipelines for training and inference.

You will collaborate with interdisciplinary IT and engineering teams, build and optimize MLOps solutions, and mentor junior data scientists while traveling across Romandie.

Qualifications

• Degree from a technical university.
• 5+ years in AI, data science or ML roles.
• Proficient in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Experience with data analysis tools (pandas) and MLflow.
• Cloud and big data knowledge is an advantage.
• Fluent in French and English.

Responsibilities

• Take technical lead in data science and AI/ML projects from requirements to delivery.
• Realize end-to-end data science and AI/ML projects.
• Model and analyse data; communicate results to stakeholders.
• Develop and optimize ML models for business problems.
• Create data pipelines for training and inference.
• Build, maintain and optimize MLOps pipelines for training, deployment and monitoring.
• Collaborate with interdisciplinary IT and engineering teams.
• Mentor junior data scientists.

Skills

French-English fluency

Analytical thinking

Communication skills

Travel flexibility

Leadership / mentoring

Education

Technical university degree

Tools

Python

scikit-learn

TensorFlow

PyTorch

pandas

MLflow

Azure

AWS

Google Cloud

Spark

Databricks

Git

JIRA

Job description

ELCA Switzerland and Europe is seeking a Senior AI Engineer to take the technical lead on data science and AI/ML projects. You will drive end-to-end delivery from requirement gathering to deployment, modeling complex business problems and creating data pipelines for training and inference.

You will collaborate with interdisciplinary IT and engineering teams, build and optimize MLOps solutions, and mentor junior data scientists while traveling across Romandie.