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The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals.
Key Responsibilities
- 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.
- 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.
- 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.
- Manage project timelines, resource allocation, risk assessments, and reporting. Monitor and report on progress, blockers, and deliverables to HOD and stakeholders.
- 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.
- Ensure all AI/ML developments comply with data privacy laws and AI ethics standards. Define policies for model retraining, versioning, and explainability.
- 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: AI/ML certifications (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 deploying ML models into production (real‑time or batch). Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git.
- 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 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.
Benefits
- KPI rewards
- Employee Shares Option Scheme (ESOS)
- EPF, SOCSO & EIS benefits
- Overtime claim
- Medical claim
- Staff purchase scheme
- Overseas trip opportunities (Asia, America, Australia, Europe)
Salary Review – Twice per year
About the Company: SNS Network is a leading technology provider based in Ipoh, Perak, with additional offices in Petaling Jaya, Perai, and Ipoh. The company delivers scalable ICT solutions and enjoys recognition as Intel® Authorized Solution Provider and Microsoft® Gold Certified Partner.