The Role
Lead end-to-end AI/ML projects: design, develop, and deploy models; build data pipelines and MLOps for training, deployment, and monitoring; analyze and communicate results; collaborate with IT/engineering teams and mentor junior data scientists.
Summary Generated by Built In
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
Skills Required
- Degree from a technical university
- At least 5 years of experience in AI, data science, or ML engineering
- Proficiency in Python or other programming languages
- Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)
- Experience with data analysis tools (pandas)
- Experience with MLOps tools (MLflow) and building/maintaining MLOps pipelines
- Knowledge of Windows, Linux, network technology, data storage, and web services
- Familiarity with software engineering and collaboration tools (Git, JIRA, Microsoft Teams)
- Strong analytical and problem-solving skills
- Flexibility to travel around Romandie
- Good communication skills and ability to build client relationships
- Fluent in French and English
- Knowledge of cloud technologies (Azure, AWS, Google Cloud) and big data platforms (Spark, Databricks)
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The Company
What We Do
With more than 2,300 experts, the ELCA Group is a leading independent Swiss IT service and solution provider, specialized in IT consulting, Cybersecurity, Cloud, Data & AI, Digital experience, Software development, Business applications and systems' integration across all industries. ELCA helps its clients to better compete in the digital era and gain in agility. The privately held company has offices in Pully (HQ), Zurich, Geneva, Bern, Basel, Rapperswil and Fehraltorf, as well as offshore centers in Italy, Spain, Mauritius and Vietnam.
