Python programozó diákmunka állás, munka

• Develop a generative artificial neural network (ANN) for probabilistic radar QPE using single- and dual-pol radar data.
• Extend the developed generative ANN to allow additional conditioning on rain gauge data to provide a merged radar-gauge product.

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...

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions for computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for use...

Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud Providing mentoring and technical support to junior and medium teammates Acting as a trusted advisor to clients Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML...

• Conducting a comprehensive literature review on the current state-of-the-art methods in E2E driving and advanced uncertainty estimation techniques
• Integrating and validating suitable uncertainty estimation methods within the E2E driving pipeline

Mastery of Apache Spark and Databricks on AWS/Azure Participation in bi-weekly sprint model with technical classes and hands-on project delivery Delivery of complex capstone projects Shadowing senior consultants on real-life engagements Building consulting skills through simulated projects and...

• Driving locally disciplinary and globally technically the Raw Data Processing development (incl. planning, concept & verification)
• Leading and developing a high-performing international team, fostering individual growth and technical excellence

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....

• Define, own, and steer end-to-end architecture and implementation working closely with our engineering team
• Translate use case requirements into architecture definitions
• Drive execution and delivery of production-ready KG solutions establishing a stable and reliable system architecture environment