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Career Mobility Policy:

Bentley strives to support colleagues’ development and provide opportunities for them to achieve their career aspirations in alignment with Bentley objectives and strategy. To foster colleague development while supporting cross functional collaboration and a one Bentley mindset, it's expected that you:

Complete twelve (12) months of employment in your current position and are in good standing with regards to performance in current role before applying for another role within Bentley.

Apply for open roles in the Career Opportunities page to be considered for a role.

Strongly consider notifying your current manager at the time you apply.

If selected for a role you applied for, you are expected to notify your current manager when an offer is extended, and before you accept the offer.

For more information, please see Bentley's Career Mobility Policy .

As a Civil AI Scientist you’ll have the opportunity to develop innovative solutions in artificial intelligence (AI) for smart civil infrastructure, participate in the development of new products based on AI and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets civil engineering use cases, requiring an innate knowledge of domain concepts and ideas.

Responsibilities​

• Develop AI/ML algorithms and models using accepted best practices​

• Provide insight and creativity to advance the state of the art in civil engineering.

• Analyse user challenges, workflows and use cases​

• Keep yourself up-to-date with the relevant research and scientific literature​

• Provide a technological watch over various areas of AI/ML​

• Assist in data acquisition from various sources​

• Analyse data integrity and quality​

• Develop data cleaning strategies and prepares training datasets​

• Measure model performance and resilience​

• Prepare reports and presentations on results​

• Present results to peers, internal stakeholders and users 

   

Qualifications​

• BSc, MSc or in machine learning and a related civil specialty​

• at least 1 year of experience in data management or civil engineering.

• Experience with Large Language Models, RAG and copilot systems

• Experience in practical machine learning applications and development​

• Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges​

• Programming and use of tools related to our area of practice such as: Python, PyTorch, Scikit-learn​, LangChain, Llamaindex, DSPy, GraphRAG

• Strong problem-solving capabilities using various technologies​

• Capability to research a new topic and to learn quickly​

• Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or MLOps experience desired

• Fluent in English

   

What We Offer:

• A great Team and culture – please watch our Recruitment Video (https://www.youtube.com/watch?v=epJImnDsbYE&feature=youtu.be)

• An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction

• Competitive salary and benefits

• The opportunity to work within a global and diversely international team

• A supportive and collaborative environment

• Colleague Rec

 About Bentley Systems

Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com

Equal Opportunity Employer:

Bentley is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, disability, pregnancy, protected veteran status, religion, national origin, age, genetic information or any other protected characteristic. This commitment extends to all aspects of employment, including, but not limited to, hiring, placement, promotion, compensation, and training. Know Your Rights as an applicant under the law.

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