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• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Owning the product strategy and roadmap for MetaDefender Managed File Transfer
• Driving customer adoption and engagement
• Conducting competitive analysis and market research
• Defining and evolving product positioning and messaging
• Collaborating with engineering, UX, and QA teams

• Transform vague client ideas into concrete product scopes
• Define ideal team setup and project phases for new engagements
• Create realistic effort and time estimates for proposals
• Lead design portion of presales process
• Participate in pitches and qualify technical requirements

• Working in a scaled environment to make the scaled design more accurate
• Driving and facilitating Scrum activities such as PI planning, daily scrum meetings, sprint retrospective, and product demos with focus on improving team efficiency
• Creating dashboards

• Design and delivery of technical trainings, workshops and enablement sessions for customers, partners and internal teams
• Explanation of complex cloud architectures, concepts and T Cloud Public services in a clear and structured way

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Own the development and ongoing evolution of the Software Engineering Center, from requirements through design, implementation, testing, and rollout
• Work directly with colleagues across departments to understand their needs and turn them into reliable features

• Leading a Core Modelling team building the foundational CAD engine
• Regularly reviewing and challenging engineering design documents
• Building and mentoring a high-performing engineering team
• Contributing to strategic planning and execution as part of the Engineering Leadership Team

• Native Swift/iOS application development
• User interface and function design as planned
• Requirements gathering participation
• Project and technical planning participation
• Unit and UI test writing
• Developer testing participation
• Continuous learning

• Participation in various partner projects building end-to-end web solutions from UI to backend
• Leadership and contribution to development efforts across the full stack supporting technical decision-making
• Design and implementation of web applications using modern frameworks and best practices

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• Operational coordination and management of a flight software team
• Close coordination with the Project Manager on all relevant projects
• Building and maintaining a backlog based on the required project work
• Managing daily tasks across multiple engineers

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities including effort estimation and proposal creation
• Architecting and planning robust data models and modern data platforms

• 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

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing and maintaining AI-assisted engineering utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation

• 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

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• Collaboration with cross-functional teams to create user-centered designs
• Design of intuitive and visually appealing interfaces for web and mobile applications
• Conducting user research, competitive analysis, and usability testing
• Creation of wireframes, prototypes, and high-fidelity mockups