Artificial Intelligence

**Job Summary**:
**Key Responsibilities**:
**Strategic Planning & Execution**
- Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs.
- Translate high-level strategy into actionable technical tasks and sprint plans.
- Evaluate and recommend AI technologies, platforms, tools, and best practices.

**Team Leadership & Management**
- Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists).
- Conduct regular one-on-ones, performance reviews, and skill gap assessments.
- Promote a collaborative, transparent, and accountable team environment.

**Technical Oversight**
- Oversee design, development, testing, deployment, and maintenance of AI/ML models.
- Perform code reviews, model validation, and ensure adherence to engineering standards.
- Identify and resolve technical bottlenecks, support experimentation and innovation.

**Project Management**
- Manage project timelines, resource allocation, risk assessments, and reporting.
- Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
- Monitor and report on progress, blockers, and deliverables to HOD and stakeholders.

**Cross-Functional Collaboration**
- Work closely with product managers, data engineers, software teams, and business stakeholders.
- Ensure AI models and systems integrate well with broader platforms or customer touchpoints.
- Translate business questions into data science problems and actionable models.

**Governance, Ethics & Compliance**
- Ensure all AI/ML developments comply with data privacy laws and AI ethics standards.
- Define policies for model retraining, versioning, and explainability.

**GPU Systems Specialist and Technical**
- Deploy, configure, and manage GPU servers and networking infrastructure.
- Serve as the primary technical advisor to customers, ensuring seamless AI deployment.

**Qualifications & Skills**:
**Education**:

- Bachelor's or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus.

**Experience**:

- 5-8 years total in AI/ML, with 2-3 years in a leadership or technical management role.
- Proven experience in deploying ML models into production (real-time or batch).
- Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc.

**Technical Proficiency**:

- Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc.
- Experience with model lifecycle: training, tuning, deployment, and monitoring.
- Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI.
- Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines.
- Experience working with cloud platforms: AWS, GCP, Azure.

**Soft Skills**:

- Excellent communication and stakeholder management skills.
- Strong leadership, team-building, and conflict resolution skills.
- Analytical mindset with attention to both big-picture strategy and technical detail.

Applicants must be willing to work in Ipoh, Perak or Petaling Jaya, Selangor.

**Benefits**:

- KPI rewards
- Employee Shares Option Scheme (ESOS)
- EPF, SOCSO &EIS
- Annual Bonus
- Annual Leave/ Medical Leave/ Wedding Leave, etc
- Medical Claim
- Staff Purchase Scheme
- Product Training: Apple/ Intel/ Microsoft, etc
- Oversea Trip: Asia, America, Australia, Europe
- Salary Review
- Twice per year

**Job Types**: Full-time, Permanent

**Benefits**:

- Opportunities for promotion
- Parental leave
- Professional development

**Education**:

- Bachelor's (preferred)

**Experience**:

- Machine Learning: 5 years (preferred)
- AI: 5 years (preferred)
- leadership or technical management role: 3 years (preferred)

**Language**:

- English (preferred)
- Bahasa Malaysia (preferred)
- Mandarin (preferred)

**Location**:

- Ipoh (preferred)

Work Location: In person