Python állások, munkák ai és automatizáció kategóriában

Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments, balancing reliability, security, maintainability and cost...

• Build and maintain Azure Databricks solutions
• Develop scalable ETL/ELT pipelines
• Implement and optimize Lakehouse solutions
• Develop Spark applications
• Develop reusable data and AI platform components
• Build and maintain MLOps pipelines using Azure Databricks
• Automate platform, data and ML deployments

• Design, build and maintain enterprise Azure cloud infrastructure and platform services.
• Develop and maintain Infrastructure as Code solutions using Terraform.
• Design, implement and maintain Azure Landing Zones, governance policies and platform standards.

• Design and own the Azure Native Data & AI Platform architecture
• Lead Azure Databricks platform implementation and evolution
• Define enterprise data, analytics, ML and AI platform standards and best practices
• Design Lakehouse and Medallion architectures

Developing and executing a comprehensive vulnerability management program, encompassing regular scanning, penetration testing coordination, risk assessment, prioritization, and remediation tracking across all environments...

• Building tools and automation that help Wise's FinCrime teams develop and improve machine learning models
• Covering areas such as model experimentation, bias and fairness, automated training-set maintenance, and threshold analysis

• Integrating delivered components into working embedded systems
• Debugging firmware, drivers, and application-level issues
• Adapting and extending example code and reference designs
• Building internal demos and proof-of-concept applications
• Giving structured, technical feedback based on real usage

• Deploying and scaling EcliptOS platform in real-world environments and ensuring it works at scale
• Owning the EcliptOS platform delivery lifecycle, bridging product engineering and client environments

• Üzleti probléma és megoldás teljes körű megértése, BRS véleményezése, jóváhagyása
• IT megoldás magas- és mélyszintű tervezése (funkcionális és architektúrális)
• Rendszer szintű SRS dokumentációk készítése, véleményezése – különös figyelemmel az interfészekre (adatfolyamok, adatmapping)

• Designing, developing, and deploying robust and scalable IAM services, including authentication, authorization, user provisioning, and directory services
• Leading technical discussions, conducting architectural reviews, and providing mentorship to junior and mid-level engineers on the team

• Designing and building agentic systems that plan, call tools and automate real business workflows
• Designing and building multi-agent (agent-to-agent) solutions in which agents hand work to each other, review it and escalate to a human when needed

• Being involved in the design process of a SoC by integrating the latest Arm IP products while ensuring correct functional behaviour
• Developing RTL code using System Verilog
• Running EDA tools to check the design and analyze results
• Using AI-assisted engineering tools to support development and debug

• Producing high quality code for the full technological stack, from database to UI and everything in between
• Assisting with troubleshooting basic issues and improving application performance by responding to specific problems and fixing defects

• Leading architecture design
• Driving technology decisions
• Co-creating innovative products
• Mentoring clients to adopt Agile practices and engineering excellence
• Leading project workstreams
• Driving architectural decisions
• Building scalable solutions using Agile methodologies

• Writing reusable, testable, and efficient code, mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Being a magician of integration of data storage solutions
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

Delivering agentic solutions across multiple client deployments, guiding them from initial prototypes and onboarding through to stable adoption and scaled use...

• Designing and implementing data fabric architecture across heterogeneous data sources and platforms
• Developing scalable ETL/ELT pipelines for batch and real-time data integration
• Integrating structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Assisting in integrating data from various sources (e.g. APIs, databases, files) into centralized data platforms
• Ensuring the quality and availability of data across data pipelines and storage systems
• Supporting the implementation of data models and data warehouse solutions