Ai developer állások XII. kerületben főiskolai végzettséggel

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

Formal verification algorithms usage to prove correctness of complicated logic problems Identification of key behaviors for verification to write clear testplans for complex designs Implementation of testplans using innovative formal techniques Driving tools to realize their best performance...

Research, develop, implement, and test artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles Focus on road structure including lanes, curbs, and drivable trajectories Focus on traffic sign and traffic light detection including 3D...

Design and own secure, scalable services Guide technical decisions and evaluate trade-offs including AI-driven components Leverage AI tools to accelerate coding, debugging, testing, and prototyping Advise on appropriate AI use including model concepts, prompt patterns, ethical and privacy...

Design and delivery of secure, high-performance microservices on AWS Driving architecture decisions and empowering team members through mentorship Setting technical direction across multiple teams Spotting system pain points and proposing improvements Pioneering AI-driven solutions by advising on...

Implementation of safety mechanisms and diagnostics Low-level driver development Register-level development Interrupt handling Memory and peripheral diagnostics Watchdog management Clock, reset, and power supervision Implementation of startup/runtime diagnostics Fault detection and handling Robust...

Working directly with customers and project teams providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK Developing custom code and configuring Veeva software Contributing to solution design under guidance of experienced technical and migration architects...

Building and optimizing inference pipelines for large-scale model serving Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching Optimizing and implementing core ML...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Building and maintaining simulation environments for mobile robotic perception and navigation Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments Collaborating with cross-functional teams to validate...