Machine learning állások, munkák it programozás, fejlesztés területen

• Your responsibility: From day one, you'll own your stories and take end-to-end responsibility for your tasks.
• Your team: You'll work in a small team of no more than five full-stack engineers. Like this, our teams are more efficient and can move fast.

• Support senior technical leads in the design and implementation of BT International managed cyber security services across Microsoft Sentinel, CrowdStrike, Securonix and other cloud-native security platforms
• Take ownership of defined engineering work packages and smaller technical projects

Contribute to our Text Analytics and Generative AI projects - from data preparation and analysis through model and prompt evaluation to the development of new features....

• Experience in different data science topics
• Independent delivery of data science projects with product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• As a Working Student AI Research Engineer for SLM Optimization (m/f/d/x), you will support the team in developing, refining, and managing caching mechanisms for Small Language Models (SLMs).
• You will contribute to the training and further development of models for cache prediction.

• Leading and mentoring a team of ML engineers
• Owning model quality end-to-end from experimentation to production-ready artifact
• Conducting regular 1-on-1s for career development and feedback
• Removing blockers and ensuring team well-being

• Translation of business challenges into practical, scalable AI-driven products
• Co-ownership of AI solution delivery with business stakeholders
• Leadership of entire product lifecycle from discovery to production deployment and scaling

• Building and maintaining production-grade AI infrastructure using Infrastructure as Code, monitoring, logging, and deployment automation
• Optimising performance and cost efficiency of LLM workloads through autoscaling, caching, batching, and infrastructure right-sizing

• Designing, developing, and evaluating machine learning models on complex telecom and retail data
• Transforming high-volume datasets into production-ready solutions such as churn prediction models and point-of-sale fraud models

Own and continuously refine the product vision, roadmap, and backlog for the AI-driven reservoir simulator, aligned with business goals and market demands....

• Build and own scalable data pipelines and integration solutions our data warehouse and data platform.
• Integrate and transform data from ERP, CRM, finance, and other enterprise systems.
• Ensure high standards of data quality, reliability, performance, and operational excellence.

• A key role in building a new health product. From the first version to market launch.
• Real product ownership, short decision paths and direct exchange with medical experts, leadership and the development team.
• A dynamic start-up environment at the Purpur Hub in Zug with room for your own ideas.

• You evaluate priority use cases for industrial service robotics in close collaboration with ABB's divisions, academia and technology partners
• You design and develop service robot solutions built on commercial robot hardware platforms extending their capabilities for industrial environments

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Improvement of repetitive processes
• Organization, cleaning and analysis of data
• Automation of processes
• Experimentation with AI tools, chatbots and workflows
• Troubleshooting and operational task support
• Data verification and process compliance

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage...

• Design agent roles, collaboration patterns, orchestration, models, memory, RAG, tool integration, identity, security, and human control
• Lead end-to-end delivery from discovery and proof of value through production rollout and scaling across business domains

• Improvement of operational efficiency through process optimization, automation, and adoption of new technologies
• Understanding of the company's data warehouse and alignment of data flows with reporting requirements

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design future‑oriented process solutions by integrating available AI platforms, technologies, agents, data, and knowledge sources....