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Responsibilities:
Agile Project Leadership
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