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- ...predictive maintenance models using raw industrial data provided for the study. Models such as statistical anomaly detection, machine learning classification, and time series forecasting will be implemented and tested. The evaluation will measure each model’s predictive...
- ...Developer experience & integration – Evaluate usability, debugging, and integration with complementary tools (e.g., BI dashboards, machine learning frameworks). An Exciting Journey with Knightec Group Semcon and Knightec have joined forces as Knightec Group. Together,...
- ...enabled developers to use a single language and code base to develop apps for both iOS and Android. With the growing popularity for machine-learning based applications, cross-platform options for machine-learning runtimes has emerged. An example of this is the ONNX runtime...
- ...the middle of a traffic spike can cause a noticeable latency impact and even causing downtime. Predictive scaling together with machine learning involves gathering and utilizing data to accurately forecast incoming spikes and efficiently allocate resources within a...
- ...reliability constraints inherent in edge-to-cloud data pipelines. This thesis explores the application of artificial intelligence and machine learning techniques to automatically optimize data processing workflows across hybrid edge-cloud architectures. Who are we looking...
- ...the future of the industry. In addition, we offer you a good package of compensation and benefits, and a wide variety of different learning opportunities. Additional information If you are passionate about HR and are eager to work in a global setting, we would...
- ...tjänsten kan komma att tillsättas innan sista ansökningsdag. Vi ser fram emot din ansökan! We value people from different backgrounds. Could this be your story? Apply today or visit to read more about us and learn about the impact of our solutions across the globe.
ABB
Sundsvall18 dagar sedan - ...impactful projects ~ Competitive compensation and comprehensive benefits package ~ A supportive culture that fosters continuous learning, growth, and professional development ~ Flexible hybrid working model for an optimal work-life balance ~25 days of annual...
- ...• Proficiency in English (written and spoken). • Collaborative mindset, being open about what you know — and don’t — and eager to learn together with the team. • System design thinking, being able to understand how parts of the system work together to develop the right...
- ...driven risk scores into CI/CD pipelines in a way that balances security with delivery velocity. Prioritization learning – Investigate whether AI can learn from developer behavior to prioritize issues teams are realistically willing to address. Actionability of...
- ...measurable factors such as deployment times, scalability, and cost efficiency, as well as qualitative aspects like developer experience, learning curve, and maintainability. Purpose and Scope In this thesis investigate these questions: What are the main differences...
