Program állás, munka

• Leading a team of engineers to increase delivery capacity for project rollout
• Owning technical execution across frontend and full stack workstreams aligned to a scalable platform model
• Providing hands-on technical leadership in JavaScript, TypeScript and modern frontend frameworks

• Design and build learner models including knowledge tracing and longitudinal approaches
• Shape the data foundation for learner modeling by defining relevant signals and building datasets
• Translate mastery and progression definitions into model targets and evaluation criteria

• Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
• Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Taking end-to-end responsibility for all project stages including discovery, design, development and handover to support
• Understanding technology-related issues to deliver the best possible solution for clients
• Having high-level discussions on technical details with the team and the external client

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations, joining deals early to diagnose the business problem, structure a solution, and build the ROI case that gets the client to sign

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Design and develop interactive 3D, XR, and digital twin applications
• Create immersive visualization experiences for industrial, engineering, facility, and enterprise use cases
• Collaborate with 3D artists, designers, software developers, and engineering teams to build high-quality digital environments

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery of data engineering, ML/MLOps, and cloud migration projects
• Managing and mentoring the data engineering team
• Building and optimizing scalable, high-performance data pipelines

• Design, build, and operate the firm’s AI platform including shared services, APIs, SDKs, and tooling
• Drive architecture across scalability, reliability, security, developer experience, and cost

Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer...

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• Leading product discovery, definition, and experience-design activities for complex digital systems in regulated industries
• Owning the product definition process translating high-level business objectives and requirements into tangible product plans

• Ensuring complete upload of client portfolios into MSCI's proprietary Risk Management products
• Generating reconciliation and quality assurance reports after each upload
• Checking data for correctness
• Responding to client queries

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• End-to-end MES implementations
• Business process assessment
• Requirements gathering
• Solution design
• Configuration
• Development
• Testing
• Deployment
• Ongoing support
• Implementation of MES platforms
• Enhancement of MES platforms
• Integration of MES platforms
• Support of MES platforms

• Collaboration with senior product managers to achieve product objectives
• Support of key projects within the product management team
• Collaboration with research, engineers and program management teams
• Support of new product development and product enhancements by creating product specifications

• 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 the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

Design of high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Implementation of complex ServiceNow solutions including system configuration and custom feature development
• Provision of advanced technical consulting and support quality assurance activities
• Ensuring adherence to implementation standards and technical best practices