• Design, develop, and deploy machine learning/AI models to solve real-world problems.
• Collaborate with data scientists, product managers, and software engineers to turn prototypes into scalable AI services.
• Evaluate and select appropriate algorithms and model architectures (classification, regression, clustering, recommendation, etc. or suitable chatbot models).
• Fine-tune and optimize models for accuracy, latency, and cost.
• Stay up to date with the latest research and trends in AI/ML and integrate them when relevant.
• Work with LLMs (GPT, etc.)
• Using LLMorchestration framework like Langchain and Langgraph
• Using LLM monitoring tool LangSmith
• Collaborate with product, backend, and infrastructure teams to deliver end-to-end AI solutions.
• Take ownership of assigned modules or projects and deliver results independently.

• Design and develop Model-driven Power Apps with deep integration into Dataverse và Dynamics 365 modules.

• Develop and maintain custom plugins, workflow activities, and custom connectors
• Implement business logic, validations, and complex data models within Dataverse and Dynamics 365. using C#/.NET.

• Customize Dynamics 365 entities, forms, views, and business process flows.

• Design and develop Power Automate flows for business automation and integration.

• Build integrations between Dynamics 365/Power Apps and external systems via REST APIs or Azure services (Functions, Logic Apps).

• Participate in requirement analysis, solution design, and system architecture planning.

• Write clean, maintainable, and well-documented code following best practices.

• Troubleshoot and resolve system issues in development and production environments.

• Conduct basic analysis of customers across different industries.
• Translate performance reports using the Google Analytics program.
• Pay attention to Google algorithm updates.
• Contribute to the company blog for on-page and off-page optimization.
• Advance keyword research according to the latest keyword research action strategies.
• Create Social Media Marketing strategies and campaigns by brainstorming content ideas, establishing budget plans, and implementation schedules.
• Promote your brand’s products and services on various social media channels.
• Build a social media marketing strategy and execute it through audience and competition research.
• Optimize company pages with social media platforms to enhance visibility of company social content.
• Achieve fake block engagement, store website traffic, and revenue by exploiting all the digital visual aspects of the social media marketing roadmap.

• Develop and manage Marketing campaigns.
• Produce Sales Kits to enhance the effectiveness of the sales process.
• Digital management of the enterprise’s technical background.
• Leverage partnerships to organize marketing programs aimed at enhancing brand image and driving revenue.
• Optimized content for websites and social networking channels such as Facebook, Youtube,…
• Edit any errors related to content.
• Refer to event connections and product introductions.
• Identify new digital directions and ensure that current signals are error-free for overall development.
• Edit and post content, videos, podcasts and audio content online.
• Make efforts on event marketing to improve KPIs, such as process, attendees, satisfaction,…
• Take care of the company’s old customers to maintain a good experience.

• Train sales team 
• Provide detailed and accurate sales forecasts
• Implement national sales programs by developing field sales action plans
• Monthly sales target and KPI target are met
• Experience using CRM to manage the sales process and forecast sales
• Planning, organization and problem-solving skills
• Searching, evaluating potential customers, screening customers;
• Build and maintain relationships with customers
• Travel to customers sites to introduce software solutions
• Experience in sales or consulting solutions for industrial digital transformation systems such as MES, WMS, TMS, BMS, ESM, Traceability, IOI, SCADA.
• Have knowledge of industrial software and systems such as AVEVA, SIEMENS, Rockwell Automation.
• Follow up Leads/Prospects and regularly visit customers
• Developing ideas and business plans, customer care
• Keep track of market trends and information about competitors
• Co-organize marketing events with partners

• We are seeking a Data Scientist with a passion for ML/AI. The ideal candidate should have a good foundation in Python, data science, ML/AI, and statistical analysis. 
• Develop and implement statistical/ML/AI models for problems related to NLP/prediction, classification.
• Collect, clean, and preprocess structured and unstructured data from various sources.
• Perform exploratory data analysis (EDA) and visualization to gain insights.
• Implement AI models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Deploy models using APIs or cloud-based solutions.
• Collaborate with software engineers and business teams to integrate AI models into production systems.
• Stay updated with the latest trends and advancements in ML/AI.

• Technical leadership and direction for digital transformation projects, focusing on .NET, Angular, ReactJS technologies.

• Design system architecture, select appropriate technology and build optimal technical solutions.

• Participate in the software development process: from requirements analysis, design, programming, testing to deployment.

• Control source code quality, ensure standards of coding convention, code review and best practices.

• Provide technical advice and support team members to solve complex problems.

• Coordinate with other departments (Developer,BA, QA, QC) to ensure project progress and quality.

• Update and apply new technologies, optimize system performance and security.

• Lead and manage all digital transformation projects from start-up to handover.

• Build plans, source additional resources, set budgets, and control voice.

• Coordinate with departmental links (IT, Sales,…) to ensure requirements and key projects are implemented on time and with quality.

• Manage and evaluate risks, handle problems discovered during project implementation.

• Ensure projects manually add company quality standards, processes, and regulations.

• Train, guide and develop project staff.

• Report project progress, results and issues to management.

♦ Product Vision & Strategy

• Define and communicate the product vision, strategy, and roadmap for DXFactory.
• Collaborate with stakeholders (customers, management, marketing, sales) to understand business needs and market trends.
• Continuously assess competitors and industry trends to drive product innovation.

♦ Backlog & Agile Management

• Prioritize and maintain the Product Backlog to maximize product value.
• Work closely with Scrum Team (Developers, Designers, QA) to ensure smooth delivery of product features.
• Define and write User Stories, Acceptance Criteria, and Epics for development teams.
• Participate in Sprint Planning, Grooming, and Review meetings to ensure clear understanding of product requirements.

♦ Stakeholder Management & Communication

• Act as the primary contact for stakeholders regarding product requirements.
• Clearly communicate product goals and priorities to teams.
• Gather feedback from users and translate it into actionable improvements.

♦ Product Performance & Continuous Improvement

• Track key product KPIs (Key Performance Indicators) to measure success.
• Use data-driven decision-making to improve product features and user experience.
• Work with UX/UI teams to ensure the product delivers a seamless customer experience