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.

• 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....

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

• 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

• 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.

• In your role as Project Manager, you will lead the business transformation in our Sales and Service organizations
• In these SAP and Salesforce rollout projects you ensure the seamless integration of our new global digital process platform across departments

• Collaborate with the user team to enhance the functionality and performance of our AI chatbot
• Evaluate different LLM agent frameworks to optimize development and functionality
• Integrate new internal knowledge sources and refine the RAG pipeline to improve the chatbot's knowledge base

• Support end-to-end product and vendor lifecycle management, ensuring system accuracy and product adoption and creation
• Support the vendor pricing strategy through collaboration with the profit team around exception and corrective management

• Take full responsibility for the squad's business and technical outcomes, including product/solution/service lifecycle, costs, benefits, and business impact.
• Remove roadblocks, take decisions, and steer the squad to deliver against agreed KPIs.

System Architecture Specifications: Create and maintain architecture specifications, interface definitions, and integration plans as the foundation for hardware, firmware, and software development teams....

As the owner of the transformation roadmap, you ensure alignment across all business functions and country organizations...

End-to-end design of the go to market for the sub-solution area including strategic input and direction relative to transformation programs...

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.