Phd high cnc javascript jquery állások VI. kerületben (it programozás, fejlesztés)

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Develop and deploy AI-powered applications using modern software engineering practices
• Integrate Large Language Models (OpenAI, Azure OpenAI, Anthropic) into business solutions
• Build scalable backend services using Python or Node.js
• Develop intuitive user interfaces with React or Angular

• Design, build, and operate enterprise-grade Agentic AI platforms
• Own architecture and delivery
• Mentor engineers
• Partner closely with client and internal teams
• Run secure AI environments at scale under strict regulatory and security requirements
• Architect Zero-Trust environments for LLM-based solutions

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

• Design and implement security controls across identity (IAM/PAM, federation, conditional access), data (encryption, key management, classification), and network (segmentation, secure landing zones, WAF/CASB)
• Work on workload security — container security, serverless security, IaC scanning

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Design landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups

• Design and evolve AWS-based cloud platforms and infrastructure environments
• Support cloud migration and modernization initiatives
• Work with client architecture, engineering and security teams to define practical cloud solutions

• Data ingestion processes from various sources into the Data Lake
• Design, development, and optimization of complex data pipelines for reliable data flow
• Build, development, and maintenance of frameworks facilitating the construction of data pipelines

Design of custom objects, custom fields, pick list, role based page layouts, workflow alerts and actions, validation rules, approval processes, custom tabs, custom reports, report folders, report extractions to various formats, design of Visualforce pages, record types, dashboards, and email...

• Support and lead AI risk and maturity assessments for client AI systems
• Review client AI systems and controls against the EU AI Act, ISO/IEC 42001, and related frameworks
• Contribute to AI governance program design including policies, procedures, RACI models, and training materials

• Leading system engineering activities
• Complex troubleshooting
• Managing network planning and capacity
• Engaging with vendors to drive technical solutions
• Supporting RFQ activities
• Translating network requirements into clear technical specifications
• Contributing to vendor evaluation criteria

• Leading complex transformation initiatives across Grid Technologies
• Structuring and steering end-to-end process improvements
• Aligning stakeholders and defining target operating models
• Driving execution across functions
• Facilitating high-impact workshops to redesign processes and embed scalable solutions

• Leading and mentoring a team of ML Engineers
• Owning model quality end-to-end from experimentation to production-ready artifact
• Conducting regular 1-on-1s for career development and feedback
• Removing blockers and ensuring team well-being

• Roll-out global template solutions for the area of Finance/ Tax including solution documentation and implementation
• Test management
• Business process operations including integrated training management
• Evaluation of local GAP and design localization extension for the global template

• Administration, configuration, and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Development of deep understanding of VISTA and VMACS order-to-delivery systems to support European Ford Dealer Council projects
• Understanding current business processes and designing the desired future-state process
• Definition of requirements to deliver the future state and building the project plan

• Work with international teams for large corporate clients
• Implementation of the newest SAP solutions
• Requirements analysis and solution design in the given process area
• Support of SAP implementation throughout the whole project lifecycle
• Preparation and conducting of training