Phạm Châu
Working location: HCM - Hybrid (2 days WFF)
Responsibilities:
· Implementation and support of delivery by different teams within DS & AI / Data Science projects – advising on the architecture, best practices, concepts.
· Making sure technical quality and excellence in architecture of cross-projects.
· Researching and preparing solutions for common DS/ML projects problems, defining the guidelines for team members and the whole Center of Excellence
· Stay abreast of the latest trends and emergencies in AI, machine learning, and data science.
· Responsibility for team of Data Scientists/AI Engineers, ML/AI Architects, other roles helpful to implement DS/AI initiatives
· Be able perform as an architect of team members’ development, help to addressing the organization’s key talents in technical skill.
· Support to Managers on Staffing projects and other engagements.
· Leading & drive team atmosphere and ensure project members achieve high customer satisfaction on their task.
· Analyze client data and business needs to identify opportunities and propose data-driven solutions.
· Building and maintaining relations, decision making on project plan, execution, solution with customers mostly through close cooperation during project acquisition, delivery and maintenance.
· Be able to take Technical Project manager or Delivery lead role when needed
Requirements:
· Have a bachelor’s degree in computer science, Applied Mathematics, or related fields.
· At least 5-8 years of experience in Data & Analytics, preferably DS/AI or NLP.
· At least 3 years in a Team Leader role or similar position.
· Strong, proven knowledge and experience in the following fields: Machine Learning, Data Science, Artificial Intelligence, ML Ops, solution operationalization, DevOps.
· Working with stakeholders on different seniority and maturity levels.
· Very good communication, presentation skills, problem solving
· Ability to combine technical and business topics, drive to understand business requirements.
· High ambition, motivation, and passion to achieve new things.
· Very good command of English.
Nice to have:
· Experience in Big Data, cloud architecture (AWS, Google Cloud, Azure).
· A deep understanding of a specific domain or industry vertical (healthcare, logistics,).
· Expertise in Solution Design.
· Be able to communicate in Japanese.