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• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Üzleti alkalmazások fejlesztésében való részvétel energetika szektorban
• A teljes fejlesztési folyamatban való aktív részvétel.
• Elosztott rendszerek fejlesztése mind on-premise, mind cloud környezetben.
• Dokumentációk készítése.

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

Plan and undertake security acceptance tests, execute thorough vulnerability assessments and penetration tests on IT, network infrastructure, applications (including mobile, web and thick-client solutions) on MOL Group level including IT projects, IT-Business projects, Business-IT projects and...

• Development and elaboration of functional concepts including creating functional architectures
• Creation of user stories and use cases to support development processes
• Visualization of functional concepts such as sequence diagrams and activity diagrams

• Implementation and support of VB.NET based software solution
• Participation in the run and maintain team

• Contribute to MDM strategy development
• Contribute to IT projects, developments to ensure the satisfaction of stakeholders
• Lead the professional execution of solution design, implementation and unit testing activities
• Participate in ERP related projects as Developer

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

Monitor and report on governance metrics to track compliance adoption and maturity across business functions, ensuring alignment with enterprise data governance policies and standards....

• Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow
• Own foundational architecture and standards for how agents model releases and internal tools are evaluated and deployed internally

• Lead the architecture, design, and implementation of enterprise-scale web applications using modern frontend technologies
• Serve as the technical lead for UI development while remaining actively involved in coding, design reviews, and implementation

• Coordinate and manage daily operation of Enterprise Server Services (ESS) team with 8 team members
• Figure out new directions, plans to be able to improve ESS services and to deliver more value to the business.
• Managing a team of 8.

• Define and manage domain-specific architecture standards, principles, and policies aligned with enterprise standards.
• Lead tool and technology selection within the domain(s) to meet strategic objectives.

• Lead and develop the E&P IT Operations, application, and data teams.
• Mentor the team to deliver high-quality solutions and uninterrupted operations.
• Communicate clearly regarding team goals, deadlines, and required training.

• Stakeholder Management: Build strong relationships with key Business Stakeholders and manage the Super User community.
• SPOC for IT Demands: Act as the single point of contact for Business IT demands and coordinate responses within IT.

• Supports the implementation, execution and development of MOL Group Test and Release Management strategy on his/her area.
• Supports Major and Minor Releases and coordinating the related activities (Prod/Test/Dev env.).

• Build and maintain simulation environments for mobile robotic perception and navigation
• Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Design, build, and maintain backend services and APIs using C#/.NET Core in a cloud (AWS) environment
• Contribute to the development of scalable and secure microservices supporting SaaS products
• Work with Angular to implement and support end-to-end features where needed

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Work with frameworks like LangChain
• Set best practices around MLOps and production-grade AI
• Mentor developers
• Contribute to internal knowledge-sharing

• Managing the project lifecycle delivery of Sustainability & Climate Corporate Solutions for the Corporates client segment
• Serving as the dedicated client liaison during each project engagement