Solution Engineer AI (m​/w

Arbeitsort:
Pfäffikon

Pensum:
Full-time

Your tasks:

Deliver AI/ML solutions;

Develop and test AI/ML solutions according to business needs;

Further develop our proprietary, cloud-based (Gen)
AI infrastructure as the backbone of technical capabilities and deliveries;

Re-design business processes and simplify using data & technologies;

Extract business requirements and create technical specifications required to deliver AI/ML solutions as a bridge between business and technology teams;

Design scalable and enterprise-grade data and AI products, ensuring alignment with business objectives and technical standards;

Being a technological leader and go-to person for the AI solution engineering team;

Manage business stakeholders' expectations, ensure delivery and business adoption;

Understand, explain, and interact on complex topics with both business and technical teams;

Actively support and share knowledge across the extended Data & Analytics team;

Stay aligned with and be the spokesperson of the AI solution engineering team for the broader IT department, such as solution architecture, software engineering or cloud infrastructure teams.

Requirements Must-haves:

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 experiences in a related field, such as data science, software engineer, solution/AI engineer or similar;

Strong knowledge and experience with Python, SQL and React (Typescript); additional knowledge in infrastructure-as-code (Terraform) as well as Microsoft Azure is strongly preferred;

In-depth knowledge of generative AI technologies (LLMs) as well as traditional ML methods;

Proven experience in implementing enterprise-grade (Gen)
AI/ML solutions

Interest in and strong affinity with technology and a particular focus on 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.

Nice-to-haves:

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.

• Support
• Testing
• CLOUD
• Python
• React
• SQL
• Bachelor
• Master

Job Status Aktiv