Ai engineer állások, munkák egyetemi végzettséggel

• Aktív szerepet vállal a projekt-előkészítési és értékesítés-támogatási (presales) feladatokban
• Részt vesz az ügyfelek ETL/ELT folyamatainak, adattárházának, adatbázisainak feltérképezésében 
• Közreműködik egy ügyfél oldali adatplatform alapjainak megtervezésében, felépítésében és fejlesztésében

• Optimize our multi-technology RAN (GSM/LTE/NR) network to maintain and improve KPIs and SLAs.
• Monitor and analyze daily network performance and capacity using OSS, signaling monitoring, crowdsourcing, and official vendor tools.
• Drive RAN performance initiatives using AI/ML-based analytics.

• The CloudOps Engineer is responsible for availability for cloud platforms
• Respond, troubleshoot and resolve production alerts
• Communicate and troubleshoot operational issues supporting a complex environment
• Initiate Incident Response for cloud outages
• Participate in Cloud Updates and Maintenance

For each assigned therapeutic project (synthetic or biologic molecule) and once agreed with the CMC Project Team actors, the CMC OPCM is the single accountable person for the accuracy of the entered plan and regularly updated in the planning tool (Planisware solution). The CMC OPCM ensures that the...

• Ensure high availability, security, and continuous improvement of OSS platforms
• Perform preventive and corrective maintenance, including software updates and troubleshooting
• Manage operational tasks: administration, configuration, monitoring, reporting, capacity planning, and documentation

• Learn and use groundbreaking technologies.
• Engineers will apply advanced troubleshooting techniques to provide unique solutions for our customers and lead customer interactions by thoughtfully working with them to dive deep into the issue and get the root cause.

• collaborate on the design and development of ML-based applications and its backend components;
• help to select the most applicable solutions for a business problem;
• write clean, efficient, and well-documented code;
• contribute to our MLOps processes;

· javaslattétel villamos ellátórendszerekkel kapcsolatos beruházások megvalósítására, · közreműködés a beruházási tervek előkészítésében, · szakági feladatok ellátása az Egyetem építési beruházásaiban, · a túlnyomóan villamossági feladatokat tartalmazó projektek irányítása, · közreműködés a...

• Develop new features (e.g. integrations with other apps, new internal & public API endpoints)
• Enable our application to discover interesting trends and statistics in our data
• Infuse AI into every part of our app (it's already in a lot of places ofc)
• Improve our agent and chatbot

Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and...

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

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

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• 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 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.

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

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

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

• 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 build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.