METTLER TOLEDO is looking to advance its AI journey and facilitate the implementation of AI projects across the organization by hiring a Data Scientist to assess, design, build and deploy new AI solutions incorporating analytics, ML, DL, NLP, agentic AI, etc.
Requirements
- Proficiency in Python
- Strong understanding of SQL and NoSQL databases including data modeling and warehousing
- Experience with data integration, cloud platforms, MS-SQL
- Experience working with APIs developing distributed solutions, along with a solid understanding of algorithms and data structures
- Experience with additional programming languages or software development aspects (e.g. frontend development with Javascript, cloud deployments with Terraform) is a plus
- Ability to assess technical projects, including infrastructure design, and to work independently while approaching problems methodically and pragmatically
- Strong analytical skills, particularly with unstructured datasets
Responsibilities
- Develop and maintain AI-based solutions based on business requirements, especially focused on NLP and LLMs
- Development of agentic solutions, especially around knowledge management, and data processing
- Onboard new teams, users and content onto the AI solutions
- User training about AI in general and the MT internal AI solution specifically
- Design, build, and test AI solutions that meet the needs of business stakeholders and users
- Assist in delivering and preparing datasets for analysis, ensuring adherence to quality standards and improving data cleaning processes
- Understand business objectives and requirements to coach stakeholders in developing models and to prepare the data
Other
- Degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience
- Fluent communication skills in English. Other languages are a plus
- Ability to manage stakeholders, provide transparency on progress, business case and risks
- Comply with strict data, intellectual property and security guidelines
- Strong organizational skills for coordinating work across multidisciplinary teams
