Team lead machine learning engineer állás, munka

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• Work with Product Managers and UX designers to specify new features and improve our products.
• Develop those new features with the end user in mind, and write unit tests and integration tests for them.
• Lead the definition of the architecture of our applications on AWS.

• Development and optimization of measurement data visualization software and other tools for PCs and mobile devices
• Application programming with Visual Studio in C# (.NET) and WPF (XAML) as well as Xamarin.Forms and MAUI
• Creation of documentation
• Localization/internationalization of software

• Define and prioritize product features and roadmap aligned with business goals
• Own the product backlog and ensure clarity and feasibility as well as maintaining of user stories , epics and features
• Collaborate with SCRUM/Nexus teams to drive agile development cycles

Market Activation of Flexibility: Connect market opportunities (e.g., spot, balancing, DSO-flex, imbalance) with platform capabilities and customer offerings. Ensure alignment between our solutions and market value drivers....

• Analyse and improve the IT landscape based on target capabilities set by the IT strategy as well as service quality insights and opportunities identified by yourself.
• Take ownership of and expand EULARs Data Analytics Infrastructure for business and research purposes.

• Swiss or EU/EFTA citizenship, or valid work authorization for Switzerland
• Bachelor’s or Master’s degree in Business, Marketing, IT, or a related field
• Minimum 5 years of experience in IT sales, client management, or digital transformation roles

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

Provide leadership for a diverse, multi-functional global team of internal consultants and external partners, setting direction across SAP P2P-related modules or a development path tailored for highly driven professionals with a clear ambition to grow into a team lead role....

• Collaborate with departments to identify, document, and technically implement high-impact AI use cases across the organization
• Design and deliver onboarding, workshops, and hands-on training sessions tailored to various teams and roles

• Jéremy Calles - Head of Engineering Manager - LinkedIn
• Design and evolve the Ricardo domain architecture using Domain-Driven Design (DDD)
• Define subdomain structures and ensure architectural coherence across teams
• Translate business goals into a long-term technical roadmap

• Identifying and coordinating the inter-dependencies among projects, products, and other important strategic initiatives across an organization
• Overseeing a whole program, which could be split into sub-projects managed by different project managers

• Close cooperation with global process owners to identify process improvement potentials enabled by new technology / applications.
• Continuous analysis, enhancement, and optimization of sales and service processes for Accelleron Switzerland and Global Service Network (Process Consulting).

As a Group Lead Engineer - Data Security & Governance, you will play a key role in ensuring Octapharma's data integrity, security, and compliance across all digital platforms. You will design and maintain data classification and protection strategies, developing frameworks that categorize data...

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• Strategic responsibility for the alignment and continuous development of the IT Service Portfolio and its operability
• Ensuring transparency and consistency across current, future, and end-of-life IT services
• Defining and governing service design principles, structures, and documentation standards

• Coordination of system and segment operation as much as the service engineering team
• Coordination of technical and operational System Level aspects with the operations managers (MOMs, SOMs and others) and engineers of the Centers and Segments

• Lead the delivery of complex IT initiatives, ensuring timely execution across internal and external teams
• Manage third-party suppliers and maintain performance oversight
• Coordinate integration points across Technology Delivery teams and communicate effectively with stakeholders.