Program állások XXIII. kerületben (ai és automatizáció)

• AI-Native Infrastructure: Modern, GPU-intenzív AI/ML keretrendszerek szoftveres alapjainak megtervezése és kiépítése.
• Deep Containerization: Komplex Docker image-ek faragása, kifejezetten GPU-kompatibilis, AI workload-specifikus erőforráskezelésre (NVIDIA-docker, CUDA optimalizáció).

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

Mastery of Apache Spark and Databricks on AWS/Azure Participation in bi-weekly sprint model with technical classes and hands-on project delivery Delivery of complex capstone projects Shadowing senior consultants on real-life engagements Building consulting skills through simulated projects and...

Development of novel data extraction tools and workflows Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification Implementation...

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

Design, implement, and evolve platform architecture processes and their integration with connected enterprise systems Develop, enhance, and maintain automation modules and frameworks primarily using PowerShell and C# Build and manage automation tools and scripts leveraging REST APIs to integrate...

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 Conversion of business...

Daily data production and quality assurance for client-facing data products Vendor data integration and management Methodology implementations, historical restatements, and platform migrations Data quality investigation including pricing errors, model performance, and analytical discrepancies...

Collaboration with team members in a multi-office, multi-country environment Delivery of high efficiency, high availability, concurrent and fault tolerant software systems Working with product management and business users to define the product roadmap Identification and driving of opportunities to...

Full-cycle sales engagements from discovery to close with consultative and strategic client development Execution of sales strategies to achieve or exceed sales targets with focus on new customer acquisition and account management Deepening client relationships by understanding long-term strategy...

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...

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 Integration of data storage solutions Handling security and data protection professionally and precisely Collaborative work to...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud Providing mentoring and technical support to junior and medium teammates Acting as a trusted advisor to clients Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML...

Delivery on complex data engineering projects across industries Leading small delivery teams Managing customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating quality of junior engineers' work Contributing to hiring best-in-class data engineers...