Data állások, munkák it programozás, fejlesztés területen

• Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe.
• Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations.

• Building high-throughput services that inspect live traffic
• Terminating and analyzing TLS in the data path
• Maintaining near-zero latency in streaming distributed systems
• Owning capabilities from idea to production and ongoing operation
• Setting technical direction and leading functional areas end to end

Assisting in the construction of a shareholder-level database of video game franchises, including the collection and coding of ownership information from financial databases, corporate filings, and other publicly available sources...

• Building and leading the small founding team of engineers and data scientists
• Setting technical and cultural direction alongside lead engineers
• Making decisions that unblock rather than bottleneck
• Owning the hiring bar from the first requisition to the tenth

You own line management for a distributed team of Machine Learning Engineers and Data Scientists - running regular 1:1s, setting development goals, and driving performance reviews and career growth....

• Build trusted, long-term relationships with customers in the Automotive & Manufacturing sector
• Understand customers' business challenges, strategic priorities, and transformation ambitions

• Owning the end-to-end delivery lifecycle of Product Order Management and Shopping Cart
• Acting as the go-to technical delivery partner aligning business, IT, architecture, and leadership
• Shaping and prioritizing the backlog together with stakeholders

• Translate Vision into Reality: Act as a key partner to stakeholders, taking broad business objectives and refining them into sophisticated, high-impact technical solutions within the
• Atlassian suite
• .

• Define and implement cloud infrastructure and observability tooling - Be a passionate software developer
• Support and development of complex and innovative shared development utilities
• Create and maintain automation processes
• Implement cloud services - Develop holistic software modules

• Lead and coordinate international innovation projects across AI & Engineering
• Build trust-based partnerships with clients and researchers
• Translate complexity into clarity – and ideas into business value
• Mentor teams and foster a culture of excellence

• Definition and leadership of the commercial analytics roadmap
• Design and development of commercial analytics, Power BI dashboards and self-service solutions
• Establishment of analytical standards and promotion of best practices

Execute customer, contact and pricing master data creation, updates, and corrections by applying defined request workflows, validation checks, and approval rules based on agreed data standards to support reliable performance of daily commercial activities...

• Ownership of marketing engine architecture and workflows
• Management and optimization of integrations across marketing technology stack
• Maintenance of operational rhythm including routing, scoring, and campaign execution
• Ownership of martech budget, vendor relationships, and renewals

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Design and maintenance of comprehensive automated regression suites
• Leveraging AI-powered tools for automated test generation, self-healing test scripts, and intelligent visual regression testing

Design and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks....

• Identify and prioritise customer problems, market opportunities, and high-value use cases.
• Define and manage standard product packages that deliver clear customer value.
• Own and prioritise the product roadmap, balancing customer needs, business objectives, and engineering capacity.

• Executing system data maintenance and administrative activities in Cornerstone and relevant learning management systems
• Providing non-systems related learning process support

• Strategic partnership with leadership across Europe, META, and the US
• Translation of workforce data into insight influencing executive decisions
• Leadership of workforce planning, organizational design, and leadership development across regions

• Define test strategies for new features, determining what to cover manually and what to automate.
• Conduct detailed testing of new features, considering how editors will use them. This includes judgment on audio processing quality and fidelity.