Programozó állások, munkák XVIII. kerületben

Performing tasks related to the position....

• Mastering in integrating rendered layers and producing the final look of the shots
• Creating and managing additional lighting tasks

• Daily operational activities including handling service requests and troubleshooting complex network issues
• Design, implementation, and optimization of corporate firewall architecture focusing on security, scalability, and high availability

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Lead the end-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tune complex Spark jobs and LLM inference patterns for maximum efficiency and minimum latency

• Building transformative AI capabilities from the ground up
• Working with conversational and agentic AI technologies to develop user-facing features
• Experimenting with generative AI models and techniques
• Tackling challenges at the intersection of AI and enterprise software

• Creation of 3D rigs for different types of objects, animals and characters
• Collaboration with the visual effects supervisor and Lead CG to determine the best possible technical and creative approaches
• Delivery of work within established project targets and high quality standards

• Leading complex penetration testing engagements
• Working with enterprise-scale cloud and Kubernetes environments
• Mentoring other security professionals
• Helping clients understand and reduce real-world cyber risks

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

• Monitoring configuration, maintenance and usage of environments with virtual machines and cloud based infrastructures (Kubernetes)
• Cooperation with platform engineers, software architects, delivery teams and operational units

• Shaping AWS-based cloud architectures and technical decisions for SaaS, PaaS, web application, and enterprise cloud environments
• Design and implementation of Infrastructure as Code solutions using Terraform, AWS CloudFormation, or Pulumi

• 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

• Enterprise-wide GHG accounting processes across Scope 1, 2, and 3 emissions
• Collection, validation, and organization of activity data from internal stakeholders and third-party sources
• Emissions calculations using standardized methodologies and tools including Excel and GHG platforms

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management and Cloud-Native Application Protection Platform tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines including IaC scanning and policy-as-code

• Line management, coaching, and career development for a team of Full-Stack Engineers
• Performance management and professional growth fostering
• Fostering a culture of technical excellence

• 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

• Building tools for Wise Servicing agents to verify customers and mitigate risk securely
• Developing infrastructure to provide insights into operational cost and bottlenecks
• Delivering adaptable, impactful solutions as a platform for Wise Servicing Agents and Product Teams

• Contribution to System IP microarchitecture specification and design
• Contribution in SystemVerilog, C and C++ to verification, modelling and debug
• Proposition and prototyping of new ways and methodologies to reach goals more efficiently
• Ownership and development of verification plans and environments

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Integration of data ingestion, processing, transformation, and storage