Self-driven learner with adaptability to evolving technology trends. 1+ year of experience in intelligent systems or AI-related technologies (for Engineer role)……
Collaborate closely with senior engineers to refine vision model architectures on unconventional tasks. Proven experience building or optimizing algorithms for……
Collaborate with data engineers to align BI models with backend data structures. Self-motivated and proactive with a passion for exploring and mastering new BI……
Conduct technology research in deep learning and natural language processing. Work with engineers/developers to realize the proposed algorithms in big data……
Possess strong critical thinking skills to understand our client's core business objectives and build end-to-end data centric strategy and solutions to address……
The project develops an AI-assisted virtual reality English speaking training system for secondary school students, integrating immersive VR environments with……
Build software application in embedded device or server, including but not limit to, IPCAM or edge boxes or IOT gateway, for early engagement with customers by……
[must have] 3+ year of experience as a data engineer. On a daily basis, you will collaborate hands-on with backend engineers and business users — specifically……
Work closely with project manager, engineers and designers. Experience in game performance optimization, mobile ad monetization, in-app purchase, analytics or……
Adapts departmental plans and priorities to address resource and operational challenges. Research and trial new technologies and assess suitability for business……
Experience leading a small team of data engineers is a plus. Ensure that data is highly available and reusable for enabling data science initiatives, analytics……
Understanding business technology drivers to support DEVOPS process. Ability to use a wide variety of open source technologies and cloud services (experience……
English fluency and clear communication to effectively engage engineers and senior business stakeholders. You will drive the entire AI lifecycle — combining……
Oversee metadata management and data lineage documentation for analytics pipelines. Recognize patterns of data needs across multiple business requirements and……
Solid knowledge on data management technologies. Data visualization, data governance as well as new technology adoption. RDBMS, NoSQL, Hadoop eco-system.…
Experience in Web3 data domains (on-chain/off-chain data, token/transaction/holder analytics) and ability to design data services powering online applications.…
Collaborate with Product Management to provide feedback on enhancements that address unique enterprise needs, such as integration with ERP systems, advanced……
Participating in code reviews and working with other engineers. Using real-time streaming or pub/sub technologies. Visa would be sponsored if necessary.…
Utilize data and process analytics tools to identify inefficiencies and monitor transformation outcomes. Partner with senior sponsors and technology leaders to……
Work closely with analysts, finance partners, and engineers to understand requirements. 3–5 years of experience in data engineering or analytics engineering……
Understands cloud technologies such as virtualized environments, Big Data storage, and AI services. As a Senior Data Engineer (Senior Consultant or Manager) in……
Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis.…
Working knowledge of web technologies and protocols, including HTTP, HTML, and practical use of XPath. Design, develop, execute, and maintain automated testing……
Work as a trusted technical advisor to customers and solve complex cloud data and AI challenges in the areas of relational database, data analytics,……
Act as Scrum Master: Facilitate Agile ceremonies, manage backlogs, and ensure delivery using Jira/Confluence
Lead cross-functional teams, manage risks, and ensure timely delivery
Intelligent Technology Development
Design and implement scalable systems such as automation, predictive analytics, and cloud pipelines using open-source tools (e.g., Kubernetes, Dify, n8n)
Ensure system security, compliance, and governance across the development lifecycle
Vendor & Procurement Leadership
Lead vendor selection and procurement: develop business cases, conduct ROI analysis, and manage RFP processes
Collaborate with stakeholders to align technical solutions with business objectives
BAU Support & Compliance Management
Provide ongoing system support, troubleshoot issues, and implement enhancements
PEnsure compliance with internal policies and regulatory standards
Innovation & Continuous Learning
Research emerging technology trends (e.g., generative AI, LLMs, Agentic AI); pilot new tools and frameworks
Promote a culture of learning through workshops, documentation, and knowledge sharing
Project Strategy Presentation
Present project strategies, roadmaps, and progress updates to senior stakeholders and business partners
Translate technical insights into strategic narratives that support business transformation goals
Cross-Functional Execution
PTake on responsibilities across Project Management, Business Analysis, Development, and QA
Lead full-cycle delivery from ideation to production
Requirements: Experience:
1+ year of experience in intelligent systems or AI-related technologies (for Engineer role).
10+ years of experience in technical development, system architecture, and troubleshooting (for Technical Lead role)
Technical Skills:
Proficient in Python, cloud platforms (AWS/Azure/GCP), containerization (Kubernetes), and CI/CD pipelines
Experience with MLOps, data pipelines, and scalable infrastructure design
Knowledge of open-source automation tools (e.g., Dify, n8n, Airflow) is advantageous
Mindset & Soft Skills:
Self-driven learner with adaptability to evolving technology trends
Strong communication and stakeholder engagement skills, including the ability to present and articulate project strategies
Resilient and collaborative in fast-paced, iterative environments
Education/Certifications:
Bachelor’s degree in Computer Science, Engineering, or related field
Agile (CSM/PSM), cloud, or AI/ML certifications preferred