Data állások, munkák it programozás, fejlesztés területen

• Design, implement, and maintain automated test frameworks for software, APIs, integrations, and supported hardware.
• Execute functional, integration, regression, performance, reliability, and release-candidate testing against defined quality criteria.

• Design, build, review, test, and maintain Ruby on Rails features and services in line with Diligent’s agile engineering practices
• Own technical delivery for projects, epics, and major user stories, including solution design, implementation planning, and execution through to production

• Coordination and tracking of sales pipeline and business opportunities
• Support of bid and proposal processes
• Follow-up with internal stakeholders and external partners to keep opportunities moving
• Conducting market research and identifying new business opportunities

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation of Azure cloud infrastructure to support Databricks and data platform workloads
• Management of Azure cloud infrastructure to support Databricks and data platform workloads

• 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

Performing tasks related to the position....

• Design and build agentic systems that plan, call tools and automate real business workflows
• Develop LLM-powered applications including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• 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
• Providing technical solutions and implementing new software features collaboratively

• 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
• Providing technical solutions and implementing new software features collaboratively

• Vectorization of 2D data
• Manual 2D/3D GIS data manipulation
• QA/QC of point cloud classification
• Database handling
• Editing and preparing of 2D vector and 3D point cloud data for further processing

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Design, build, test, deploy and operate secure full-stack solutions across user interfaces, APIs, services, integrations and cloud platforms.
• Translate business and product requirements into scalable, maintainable technical designs and software components.

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• 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

• Design and build the next generation of the single-security analytical modeling platform using C++23 and Python 3
• Influence the strategic development of analytical services in Aladdin by understanding business processes, identifying bottlenecks, and improving cloud-compute performance

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

• Development of infrastructure providing insights into operational cost and risk associated with Wise product ownership
• Enhancement of product to reduce Wise's cost for customers and enable smoother experience when additional information is required

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...