Team lead machine learning engineer állások, munkák it programozás, fejlesztés területen

• collaborate on the design and development of ML-based applications and its backend components;
• help to select the most applicable solutions for a business problem;
• write clean, efficient, and well-documented code;
• contribute to our MLOps processes;

• Projektek szakmai becslése, tervezése, végrehajtásának irányítása és felügyelete  
• Beszállítók munkájának szakmai felügyelete, alvállalokozók menedzselése 
• Belsős engineering csapat irányítása és people management-je (Frontend, Backend, Tesztelés, DevOps)  

• Develop and lead the global IT procurement strategy in alignment with company's business and digital transformation goals
• Manage IT contracts, including software, hardware, cloud services, and strategic outsourcing agreements

• Lead and manage the delivery of development projects within the Card BU portfolio, from concept creation till „go to market”.
• Own and maintain a clear delivery roadmap. Drive requirement specification, define acceptance criteria, MVPs in close collaboration with business and IT stakeholders.

• Learn and use groundbreaking technologies.
• Engineers will apply advanced troubleshooting techniques to provide unique solutions for our customers and lead customer interactions by thoughtfully working with them to dive deep into the issue and get the root cause.

Execute statistical and analytical analyses of pre-existing data to investigate research questions, utilizing strong background in statistics, programming, and observational research...

- Data and Systems Management: Take ownership of managing and maintaining the school’s core educational information systems (e.g. Google Workspace, iSAMS, Toddle), ensuring that student and academic data are accurate, consistent, and up to date. Work closely with teachers, leaders, and the IT...

• Lead the development of the Digital Factory operating model, ensuring quarterly progress in alignment with the management team.
• Develop and maintain the Digital Factory-level roadmap, identifying and mitigating blockers, risks, and dependencies.

• Strategic Planning: Develop and refine IT strategic and tactical plans, ensuring alignment with business objectives.
• Enterprise Architecture Development: Continually evolve and enhance the enterprise architecture framework based on best practices and feedback.

• Test Strategy Development: Develop and implement comprehensive test strategies, ensuring alignment with project goals and timelines.
• Team Leadership: Lead and mentor a team of test experts, providing guidance and support to ensure high-quality deliverables.

• Development of agile teams to ensure proper implementation of Agile/Scrum
• Principles and the adoption of Scrum values
• Guides, trains and coaches the team/s to work in an Agile way

• Leading the Agile Transformation process: building, increasing and sustain maturity of high-performing self-organized Agile teams
• Promote and advocate a culture of continuous improvement, setting goals and milestones

• Act as single point of contact for IT Operation cost tracking and overview.
• Analyze and forecast Digital Factory Engineering’s operational spending.
• Develop and implement cost optimization strategies.
• Collabore with engineering and finance teams to establish effective cost management practices.

• Participate in or lead SAP PM implementation and rollout projects across MOL Group companies.
• Work with business teams to analyze and understand maintenance-related requirements.

The RPA Developer (UiPath) & Solution Architect is responsible for designing, developing, and maintaining enterprise-class automation solutions using UiPath. This hybrid role combines hands-on RPA development with solution architecture responsibilities, ensuring that automation initiatives are...

• Ensure top-tier platform performance and security. 
• Provide essential Level 2 user support and manage change seamlessly. 
• Collaborate for smooth vendor releases and service deployment. 
• Spearhead security audits and ensure regulatory compliance. 

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

Design, develop, and deploy advanced ML models, with a focus on optimizing Large Language Models (LLMs) for diverse NLP and multimodal applications (text, image, structured data) and Visual Language Models (VLM)...

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

Collaborate as part of a cross-functional AI Platform team with Software Engineers, SREs, and internal AI customers (e.g. Data Scientists and Backend Engineers)....