Technologies állások III. kerületben egyetemi végzettséggel

Creating, planning, and ensuring implementation of the local go-to-market product marketing strategy, including defining and communicating product value propositions and product positioning in accordance with the global product marketing strategy....

• Ensure high availability and reliable operation of low-, medium-, and high-voltage electrical systems within the power plant
• Perform onsite fault diagnostics, troubleshooting, and immediate intervention in case of electrical failures or disturbances

• GL/ Daily processing of GL/AP/AR transactions (with main focus on GL)
• Reconciliation of balance and nominal accounts. All deviations should be verified and explained
• Month-end closing for the chosen entity, reporting and verification of balance and turnover

• Systematic identification and evaluation of customer and supplier claims
• Analyze contract conditions and assess claim entitlement under applicable law
• Legal assessment of complex claim situations, supported by solid legal reasoning

• Establish yourself as a trusted advisor to prospects and customers working with Account Managers and the local partners.
• Understanding of customers’ needs and provisioning of technical consultancy to the ALEF’s sales department during pre-sales phase.

• Act as the main interface between customers and R&D (Research & Development), building strong relationships with automotive OEMs and Tier partners.
• Develop and grow customer relationships, identifying new application opportunities and business potential.

• Monitor and control IT project budgets from initial request through completion, ensuring financial adherence and transparency
• Develop and maintain KPIs and performance dashboards to evaluate departmental effectiveness and identify improvement opportunities

• Execute and oversee monthly closing activities for R&D cost centers, Internal Orders & PSP-Elements
• Ensure correct accounting in regards to capitalization within IFRS
• Prepare and analyze variance reports, ensuring transparency of actual vs. budgeted development costs

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity