Total 2 Education / Training job vacancies in Labuan, Labuan Federal Territory

About EPOS

Backed by Ant International (a global leader in digital payments, digitisation, and financial technology solutions), EPOS is a leading Point-of-Sale (POS) digital solutions provider.

Supporting Ant International's mission to empower SMEs, EPOS serves as the central hub of its global merchant payment services provider, Antom, delivering integrated O2O digital, payment, and banking solutions to SMEs worldwide—empowering Every Point Of Success in their business growth.

With a growing presence across Southeast Asia, we’re looking for passionate individuals to join our diverse and driven teams. Be part of our journey as we expand to create meaningful, impactful changes for businesses around the world.

Role Overview

Responsible for internal sales enablement and cross-team operational training. This role delivers product, workflow, project management and efficiency training to frontline sales teams, and empowers Sales OPS team to standardize customer education and boost mid-sales operational efficiency.

Key Responsibilities

Internal Sales Team Enablement

• Develop and update standardized sales training courses and materials covering product knowledge, sales SOPs, project management and efficiency optimization. Identify team capability gaps, deliver targeted training and coaching, standardize sales practices and improve overall sales team productivity.

Sales OPS Team Enablement

• Upskill Sales OPS team on mid-sales operations, standardized customer education, customer communication and project coordination. Help streamline daily operations, improve customer-facing service quality, minimize operational risks and enhance cross-team collaboration.

Training Management & Iteration

• Monitor training effectiveness, compile training statistics and conduct regular outcome reviews. Collect team feedback, iterate training content aligned with product and process updates, and continuously optimize sales system capabilities.

• Bachelor’s degree in Business, Marketing, HR or related field
• Minimum 4 years’ experience in Sales Enablement, Sales Training, Sales Ops, or L&D
• Experience working closely with sales teams (B2B / FMCG / SaaS / retail preferred)
• Able to design, prepare and deliver training (not just coordinate)
• Strong understanding of sales process and sales KPIs
• Able to identify skill gaps and improve sales performance
• Good communication and presentation skills (English required; BM/Mandarin is a plus)
• Proficient in Excel and CRM systems (e.g. Salesforce, HubSpot)
• Able to work with multiple stakeholders in a fast-paced environment
  

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.

Role Overview

As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics.

Key Responsibilities

• Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products
• Strategize evaluation methodologies, gathering data and evaluation reporting
• Perform data analytics on large datasets
• Monitor and track anomalies within product’s content and statistics
• Train and deploy ML models to help boost product performance
• Create and maintain detailed documentation of test processes, methodologies, and findings
• Keep up to date with advancements in the field to optimize internal processes and workflows
• Interface and coordinate with Engineering team
• Foster a collaborative, proactive team environment that values shared success.

• Bachelor’s degree in an analytical domain such as Machine Learning, Computer Science, or a related discipline

• Python, Javascript and SQL Knowledge/Experience
• Familiarity with classical Machine Learning Models such as Random Forest, SVM, Naive Bayes
• Core understanding of mathematical concepts for statistical inference
• Hands on with spreadsheet based querying and analytics
• Proficient with annotation tools such as CVAT
• Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)
• Good command of English both oral and written and reporting skills
• Knowledge of basic statistical principles coupled with logical thinking, coherent reasoning and a detail-oriented attitude