Machine Learning Manager

Gen

. Lead, coach, and develop a high-performing machine learning and AI team .

Posted 11/4/2026full-timeKuala Lumpur • MalaysiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading machine learning and AI initiatives from concept to production, with a strong foundation in Python, SQL, and modern machine learning frameworks. Capable of guiding teams through technical challenges while fostering collaboration and communication across diverse stakeholders.

Highest-signal resume keywords

Machine Learning LeadershipPython ProgrammingMLOps ToolingStatistical ThinkingCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI InitiativesSoftware EngineeringExperimentationModel EvaluationProduction WorkflowsNatural Language ProcessingRecommendation SystemsStatistical AnalysisModel Monitoring

Soft Skills

Team DevelopmentCommunication SkillsCollaboration SkillsProblem FramingAdaptability

Tools & Technologies

Modern Machine Learning FrameworksCI/CDLifecycle ManagementProduction InfrastructureMonitoring Tools

Industry Keywords

GovernanceTechnical DirectionHigh-Impact SolutionsFast-Paced EnvironmentsExperimentation Standards

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Lead, coach, and develop a high-performing machine learning and AI team
Shape the technical direction of machine learning and AI initiatives aligned with business priorities and product goals
Partner with Product, Engineering, Data, and platform teams to translate business problems into machine learning and AI solutions
Guide projects from exploration and experimentation through development, productionization, monitoring, and iteration
Drive standards for experimentation, model evaluation, reliability, maintainability, monitoring, and governance
Support scalable machine learning systems, workflows, and development practices
Provide technical guidance on architecture, trade-offs, and implementation strategy
Communicate technical concepts, risks, and opportunities to technical and non-technical stakeholders
Research, evaluate, and guide adoption of new machine learning and AI ideas, including LLM-based systems
Build repeatable capabilities, frameworks, and ways of working across multiple machine learning efforts

Requirements

What you’ll need

Demonstrated experience leading machine learning or AI initiatives from idea to production
Experience managing, mentoring, and developing technical team members
Strong foundation in machine learning, experimentation, statistical thinking, and software engineering
Good programming knowledge and strong hands-on familiarity with Python and SQL
Experience developing, deploying, and operating machine learning systems in production
Ability to frame business problems, prioritize effectively, and guide teams toward practical, high-impact solutions
Strong communication and collaboration skills across technical and non-technical stakeholders
Comfortable operating in fast-paced and ambiguous environments while balancing execution, technical quality, and team growth
Experience with modern machine learning frameworks and tooling
Familiarity with modern MLOps tooling and production workflows, including model monitoring, CI/CD, and lifecycle management
Experience with cloud platforms and production infrastructure
Exposure to natural language processing, search, recommendation systems, or modern GenAI / LLM application patterns is a plus
Experience improving engineering standards, governance, and reusable internal capabilities across multiple machine learning projects

Benefits

Comp & perks

Flexible working options
Time off
Competitive pay
Benefits
Well-being programs
Opportunities for career growth
Supportive tools and resources
Healthy debate, experimentation, and continuous learning culture