Python programmer állások XIV. kerületben (ai és automatizáció)

• Kutatás és Fejlesztési projektek végigkövetése a tervezéstől az átadásig
• Beágyazott vezérlők programozása C nyelven
• Prototípus berendezések beüzemelése
• Prototípus berendezések tesztelése
• Gépész mérnökökkel való együttműködés
• Villamos mérnökökkel való együttműködés

• Dashboard development for sustainability data visualization
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting with customized visual analytics solutions
• Data analysis to identify trends, patterns, and insights supporting sustainability initiatives

• AWS-based cloud architecture design and technical decision making for SaaS, PaaS, web application, and enterprise cloud environments
• Infrastructure as Code solution design and implementation using Terraform, AWS CloudFormation, or Pulumi

• Research, development, implementation, and testing of 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

• Architecture design of large-scale market data initiatives
• Software engineering of secure, high performance, scalable and maintainable applications
• Integration and deployment of market data initiatives
• Coordination and collaboration with internal OneMSCI stakeholders

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Design, development, and optimization of core ML models in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, code review and sharing best practices

• Configuration and evolution of enterprise AI platforms and orchestration components
• Implementation of platform capabilities and contribution to AI use case implementation
• Development of APIs, service components, and integration logic for AI-enabled solutions

• Researching and designing new performance attribution models
• Collaborating with software developers to test and release new models into production
• Supporting existing performance attribution models in production
• Developing and improving model quality control and model performance monitoring

• Build And Maintain Data Models And Pipelines Primarily Using AI Coding Tools
• Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing
• Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops

Mastering Apache Spark and Databricks on AWS/Azure Delivering hands-on project work during bi-weekly sprint model Completing complex capstone projects Shadowing senior consultants on real-life engagements Delivering simulated projects Advising stakeholders and navigating requirements Contributing...

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• End-to-end software release process management
• Branch management
• Software version control
• Release note documentation
• Communication with internal and external collaborators
• Release automation enhancement of CI/CD pipelines
• Defect logging and tracking for releases

• Translation of AI opportunities into executable technical solution designs
• Definition of integration approaches with IT and business application/data owners
• Implementation of AI use cases using enterprise AI services and LLM APIs

• Managing complex database systems within a global technology ecosystem
• Building and managing Database hosting capabilities using Infrastructure as Code for all platform needs
• Building Database Infrastructure Platforms with developers and providing guidance and tooling to handle distributed systems

• Development and maintenance of the data platform's infrastructure using Terraform
• Implementation and management of CI/CD pipelines for automation of data and AI processes and pipelines
• Automation of provisioning, configuration, and monitoring of resources in AWS

• Management and support of Linux servers and RedHat container platforms (OpenShift/Kubernetes)
• Automation of deployment pipelines and system configurations
• Troubleshooting and provision of 2nd and 3rd line support
• Monitoring of system performance and capacity

• Kapcsolattartás az ügyfelekkel, igények felmérése és tanácsadás
• Azure Function App fejlesztés
• Dokumentálás
• Programozás Pythonban
• Azure infrastruktúra tervezés és karbantartás
• Rendszeres ellenőrzés, frissítés és teljesítmény optimalizálás Azure környezetben
• Fejlesztések tervezésében aktív részvétel

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation