Data operations manager állás, munka

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

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

Lead the Redevelopment of Global Rewards Products: Drive the transformation and modernization of Total Rewards products by guiding the review, redesign, and implementation of globally integrated frameworks. Ensure each product area — LTI, STI, Merit, Performance Management, Job Architecture, and...

• Defines and develops the Global Process Engineering strategies and plans
• Interface with site leaders, Global Engineering heads and other global functional leads to ensure that strategies, plans and activities are integrated and aligned with the overall corporate objectives

Manage a team of highly skilled engineers focusing on accelerated data processing solutions development Lead and motivate team to conduct projects meeting internal and external customer needs Collaborate with deep learning software engineering community to contribute to and improve open source code...

• 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.

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• 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

• Technical support interface (HW/SW/Optics) for Engineering, Marketing, Product Management, and customers
• Performance analysis and system validation of ams Osram and competitive products

Act as specialist for private credit strategies and coordinate capital raising efforts;...

Data Discovery, Analysis and visualization w.r.t Network Planning of transformation programs having multitechnology and multi-era telecommunication platforms with alignment and governance of Colt Engineering guidelines....

Developing innovative solutions that advance AI/ML systems for mobility services Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols Conducting research on AI safety and alignment topics Identifying research gaps...

• Configure and equip a designated workshop for end-effector manufacturing and a dry lab for system testing and demonstrations.
• Establish, maintain, and operate ROSI's robotic systems, including clinical-grade and research platforms.

• Responsibility (Product Owner) for all Processes managed in SAP SF Employee Central or in associated digital tools
• Act as a master data expert in all HR digitalization initiatives and consult Global HR Process Owners in data quality and data strategy matters

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact