The AI Job Search Engine
AI/ML Solution Engineer(m/w/x)
Enhancing proprietary, cloud-based generative AI infrastructure for public market investment solutions. In-depth knowledge of generative AI (LLMs) and traditional ML methods required. Flexible hours, home office allowance.
Requirements
- University degree in computer science, data science, information technology, artificial intelligence, engineering, mathematics, statistics, or any other STEM degree
- At least 2 years of professional experience in a related field, such as data science, software engineering, solution/AI engineering, or similar
- Strong knowledge and experience with Python, SQL, and React (Typescript); additional knowledge in infrastructure-as-code (Terraform) and Microsoft Azure is strongly preferred
- In-depth knowledge of generative AI technologies (LLMs) and traditional ML methods
- Proven experience in implementing enterprise-grade (Gen)AI/ML solutions
- Interest in and strong affinity with technology, particularly AI/ML
- Knowledge and understanding of software design and development principles in an enterprise context
- Proven experience in working in large-scale or complex technology landscapes is a plus
- Excellent analytical and technical skills and attention to detail
- Motivation to work at the intersection of technology, research, and business
- Great team player and ability to work collaboratively at various levels of the organization
- Proactive personality who takes ownership and uses initiative
- Fluency in English
- Experience in leading technical deliveries and delivery teams in the AI/ML space
- Experience with modern cloud data toolsets, preferably Microsoft Azure
- General knowledge about financial markets, preferably private markets
- German skills
Tasks
- Deliver AI/ML solutions across LGT CP
- Develop and test AI/ML solutions based on business needs
- Enhance the proprietary, cloud-based (Gen)AI infrastructure
- Redesign and simplify business processes using data and technology
- Extract business requirements and create technical specifications
- Design scalable, enterprise-grade data and AI products
- Lead the AI solution engineering team as a technological expert
- Manage stakeholder expectations and ensure business adoption
- Explain complex topics to both business and technical teams
- Share knowledge and actively support the Data & Analytics team
- Represent the AI solution engineering team within the IT department
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- React (Typescript)
- Terraform
- Microsoft Azure
Benefits
Modern Office
- Modern working conditions
Flexible Working
- Work-from-home options
- Flexible hours
Additional Allowances
- Home office allowance
Informal Culture
- Diverse culture
Learning & Development
- Professional development
- Training opportunities
- Language skills enhancement
Mentorship & Coaching
- Personal growth
Not a perfect match?
- LGT Capital Partners AGFull-timeWith HomeofficeManagementPfäffikon SZ
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AI/ML Solution Engineer(m/w/x)
Enhancing proprietary, cloud-based generative AI infrastructure for public market investment solutions. In-depth knowledge of generative AI (LLMs) and traditional ML methods required. Flexible hours, home office allowance.
Requirements
- University degree in computer science, data science, information technology, artificial intelligence, engineering, mathematics, statistics, or any other STEM degree
- At least 2 years of professional experience in a related field, such as data science, software engineering, solution/AI engineering, or similar
- Strong knowledge and experience with Python, SQL, and React (Typescript); additional knowledge in infrastructure-as-code (Terraform) and Microsoft Azure is strongly preferred
- In-depth knowledge of generative AI technologies (LLMs) and traditional ML methods
- Proven experience in implementing enterprise-grade (Gen)AI/ML solutions
- Interest in and strong affinity with technology, particularly AI/ML
- Knowledge and understanding of software design and development principles in an enterprise context
- Proven experience in working in large-scale or complex technology landscapes is a plus
- Excellent analytical and technical skills and attention to detail
- Motivation to work at the intersection of technology, research, and business
- Great team player and ability to work collaboratively at various levels of the organization
- Proactive personality who takes ownership and uses initiative
- Fluency in English
- Experience in leading technical deliveries and delivery teams in the AI/ML space
- Experience with modern cloud data toolsets, preferably Microsoft Azure
- General knowledge about financial markets, preferably private markets
- German skills
Tasks
- Deliver AI/ML solutions across LGT CP
- Develop and test AI/ML solutions based on business needs
- Enhance the proprietary, cloud-based (Gen)AI infrastructure
- Redesign and simplify business processes using data and technology
- Extract business requirements and create technical specifications
- Design scalable, enterprise-grade data and AI products
- Lead the AI solution engineering team as a technological expert
- Manage stakeholder expectations and ensure business adoption
- Explain complex topics to both business and technical teams
- Share knowledge and actively support the Data & Analytics team
- Represent the AI solution engineering team within the IT department
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- React (Typescript)
- Terraform
- Microsoft Azure
Benefits
Modern Office
- Modern working conditions
Flexible Working
- Work-from-home options
- Flexible hours
Additional Allowances
- Home office allowance
Informal Culture
- Diverse culture
Learning & Development
- Professional development
- Training opportunities
- Language skills enhancement
Mentorship & Coaching
- Personal growth
About the Company
LGT Capital Partners AG, Pfaeffikon
Industry
Other
Description
The company focuses on investment opportunities in public markets associated with private equity.
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