AI/Machine Learning Engineer

RESPONSIBILITIES & TASKS:

AI Solution Development

• Design, develop, test, and deploy AI/ML models supporting business and operational outcomes.
• Build and maintain AI services, APIs, and microservices for enterprise consumption.
• Develop Generative AI and Agentic AI solutions using approved enterprise platforms and frameworks.
• Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.
• Develop prompt engineering, evaluation, and optimization approaches for AI systems.

AI Platform Engineering and MLOps

• Develop and maintain AI model deployment pipelines and model lifecycle processes.
• Build automated testing, deployment, monitoring, model versioning, and release management capabilities.
• Support production deployment of models and AI services aligned to enterprise architecture standards.

Data Engineering and Integration

• Design and develop data pipelines required for AI model training and inference.
• Integrate AI solutions with enterprise applications, cloud platforms, APIs, databases, and data warehouses.
• Support data preparation, feature engineering, and operationalization of AI models.

AI Operations, Monitoring, and Continuous Improvement

• Monitor model performance, accuracy, reliability, cost, and operational stability.
• Implement observability and monitoring frameworks for AI workloads.
• Investigate production issues, perform root-cause analysis, and implement corrective actions.
• Tune and optimize models and AI services for performance, quality, and usability.

Security, Governance, and Responsible AI

• Ensure AI solutions align with enterprise AI governance, information security, privacy, and data protection requirements.
• Apply responsible AI principles including fairness, transparency, explain ability, reliability, and human oversight.
• Support AI risk assessments, security reviews, and compliance documentation.

Collaboration and Enablement

• Work closely with business stakeholders, Data Scientists, solution architects, application teams, and platform engineers.
• Participate in AI use case discovery, design workshops, technical reviews, and implementation planning.
• Support knowledge sharing and AI capability development across regional subsidaries.

SKILLS & QUALIFICATIONS:

• Minimum 8 years of experience in software engineering, AI engineering, machine learning engineering, or related disciplines. 
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related discipline.
• Experience developing production-grade AI/ML solutions, working with cloud-native platforms, and implementing machine learning models in enterprise environments.

Technical Skills

• • Python
  • Machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn
  • LLM and agent frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen
  • API development and microservices
  • Vector databases and RAG architectures
  • MLOps platforms, CI/CD, and model lifecycle management
  • SQL and data engineering
  • Cloud services across AWS, Azure, or GCP
  • Container technologies such as Docker and Kubernetes
  • Git and DevOps practices

Data Scientist

RESPONSIBILITIES & TASKS:

 Data Exploration and Analysis

• Perform exploratory data analysis on enterprise datasets to identify trends, patterns, anomalies, and opportunities.
• Develop analytical frameworks to support operational, commercial, and strategic decision-making.
• Translate business problems into analytical questions, hypotheses, and measurable outcomes.

Predictive and Prescriptive Analytics

• Develop predictive, classification, forecasting, segmentation, recommendation, and optimization models.
• Build statistical models to support business planning, resource allocation, and performance improvement.
• Conduct scenario modelling, sensitivity analysis, and what-if analysis to guide management decisions.
• Evaluate model effectiveness, explain results, and assess business impact.

AI and Machine Learning

• Collaborate with AI/ML Engineers to operationalize models into reliable production solutions.
• Support experimentation with Generative AI, Agentic AI, and advanced analytics use cases.

Business Intelligence and Executive Insights

• Prepare executive-level insights, recommendations, dashboards, and presentations.
• Develop reports and visualizations that clearly communicate business performance and analytical findings.
• Support KPI definition, measurement frameworks, and value realization tracking for AI and analytics initiatives.

Data Governance and Quality

• Promote high-quality, trusted, and responsible data usage across analytics and AI activities.
• Support the establishment of data standards, data definitions, and governance practices.
• Monitor data quality and ensure analytical outputs are based on fit-for-purpose data.
• Ensure compliance with privacy, regulatory, and information security requirements.

Research and Innovation

• Evaluate emerging analytics and AI technologies, modelling techniques, and business applications.
• Identify new opportunities to create competitive advantage using data, analytics, and AI.

SKILLS & QUALIFICATIONS:

• Minimum 6 years of experience in Data Science, Advanced Analytics, Business Analytics, Statistics, or related disciplines. 
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline. 
• Experience delivering business insights through data analysis, developing predictive and machine learning models, and engaging directly with business stakeholders.

Technical Skills

• • Python
  • R desirable
  • SQL
  • Machine learning
  • Statistics and experimental design
  • Forecasting techniques
  • Data visualization and storytelling
  • Power BI or equivalent BI tools
  • Snowflake or modern cloud data platforms
  • Data modelling and feature engineering

Business Development & Sales Support Manager

Purpose 

 To provide operational management of the strategy and Sales function to ensure delivery across all regions and segments to grow revenue and profit and to drive genuine and consistent sales excellence.

 Key Accountabilities

• To ensure the Sales function meets all internal and external governance and regulatory requirements and have in place a robust first line of defense that demonstrates effective controls and best practice.
• To build strong relationships, share insight and ensure all key accountabilities are met in order to learn and improve as a business.
• Leadership accountability for the Sales Operations team, working alongside Heads of Sales, Sales Managers and sales force across all Segments.
• Effective execution of sales strategy by working in collaboration with Sales Leaders to build a high performance culture ensuring our people are engaged and motivated in order to develop our expertise.
• Build consistency across all segments to ensure achievement of genuine sales excellence.
• Responsibility for regulatory, compliance and governance frameworks by facilitating and driving implementation of General Insurance and regulatory governance.
• Takes an overview of Sales related work streams and projects and takes responsibility for delivering key components and achievement of success criteria and commercial measures.
• Delivery of Sales Management Information to ensure clarity in performance across various metrics in line with objectives and targets and business plans.
• Play a key role in the Sales Leaders meetings and peer review with a focus on best practice, building expertise, team performance, personal development, succession planning and compliance.
• Lead and drive agency recruitment strategies to achieve manpower growth targets across all distribution channels and segments.
• Develop and execute recruitment initiatives, campaigns and activation programmes to attract high-quality candidates into the agency force.
• Design, implement and manage recruitment scheme packages, incentive programmes and onboarding support to improve recruitment productivity, activation and retention of new agents.
• Collaborate closely with Heads of Sales, Sales Managers and Agency Leaders to identify recruitment opportunities, build candidate pipelines and achieve agreed recruitment KPIs.
• Monitor recruitment performance, licensing progression and activation rates, providing insights and recommendations to improve recruitment effectiveness and quality.
• Drive new agent onboarding, licensing and early-stage productivity programmes to ensure successful transition from recruitment to active production.
• Establish and maintain strategic partnerships with universities, professional associations, corporate organisations and referral networks to strengthen recruitment channels and employer branding.
• Support the development of future agency leaders through structured talent identification, succession planning and leadership development initiatives.
• Ensure all recruitment activities, campaigns and schemes comply with internal governance, regulatory requirements and industry guidelines.
• Leverage recruitment analytics and management information to measure recruitment outcomes, identify trends and support data-driven decision-making.

Role Summary

As Pricing Assistant Manager, you will take a proactive and independent role in the end-to-end pricing process for new product development. You will work with minimal supervision, leading pricing projects, collaborating across departments, and ensuring regulatory and business requirements are met. You will support the manager in driving pricing excellence and provide guidance to junior team members.

Key Responsibilities: -

Product Pricing & Development

• Lead the pricing process for assigned new products, ensuring timely and accurate delivery.
• Independently test and validate pricing models and tools, ensuring their reliability and compliance.
• Compile and review product features, pricing assumptions, and profitability analysis with minimal guidance.
• Critically evaluate product specifications and documentation during product development, ensuring consistency with pricing strategy and regulatory requirements.
• Review policy documents and marketing materials, providing comprehensive feedback to ensure alignment with product design, pricing, and regulatory standards.
• Prepare and present pricing reports for internal and regional approvals.
• Coordinate and compile supporting documentation for new product submissions to BNM.

System Support

• Independently conduct and document User Acceptance Testing (UAT) for product and system value verification.
• Identify and resolve discrepancies between system calculations and actual pricing or product functionality.
• Lead updates and maintenance of Front End and Back End systems related to product pricing.
• Perform and oversee ad hoc calculations as required, ensuring accuracy and timeliness.
• Collaborate effectively with stakeholders including IT, New Business, Servicing, and other relevant teams.

Technical & Operational Support

• Provide ongoing technical advice and support to operations and cross-functional departments.
• Share expertise with junior team members and supporting their development.

Ad Hoc Responsibilities

• Support other pricing and product-related initiatives as assigned by management.
• Champion process improvements and contribute to a culture of continuous learning and innovation within the team.

Qualifications and Experience:

• Bachelor’s degree in Actuarial Science
• Minimum 4-5 years of experience in insurance product pricing or related field.
• Strong analytical and problem-solving skills; ability to work independently and manage multiple priorities.
• Proficient in pricing models, actuarial tools, and data analysis.
• Excellent communication and stakeholder management skills.
• Familiarity with regulatory requirements and product submission processes.
• Experience with UAT and system support is an advantage.

INTERVENTION AND RESOLUTION ANALYST

Description

The Intervention and Resolution Analyst is responsible for the end-to-end intervention and resolution functions within PIDM. These include undertaking risk assessment and monitoring activities, developing resolution plans and enhancing resolution readiness in Business-as-Usual (“BAU”), as well as implementing early intervention and failure resolution actions. The I&R Analyst is also responsible for managing relationships with all key stakeholders, including Bank Negara Malaysia (“BNM”), Member Institutions (“MIs”), the Ministry of Finance (“MOF”), industry associations, standard setters, and other relevant local and foreign regulatory authorities and government bodies, to ensure a cooperative and collaborative working relationship towards the effective fulfilment of intervention and resolution functions and PIDM’s mandates.

Job Roles:

This position reports to the Head, Intervention and Resolution, the candidate is required to;

• Undertake risk assessment and monitoring of member institutions, including review of risk ratings;
• Develop and implement processes, controls, plans and activities in managing and resolving failing institutions, including identification of preferred resolution strategy, operational planning, resolvability review and resolvability assessment;
• Carry out early intervention and failure resolution activities, such as least cost assessment;
• Develop, review and advise on a range of resolution policy initiatives or workstreams;
• Coordinating, managing and engaging professionals, consultants, agents and key external stakeholders on ensuring an effective resolution regime.

This position is open to Malaysian citizens only.

By submitting your CV, you consent to the processing of your personal data in accordance with PIDM’s Privacy Notice which can be accessed at https://www.pidm.gov.my.

Entry Requirements

• Possess a degree in accounting, finance, commerce or related discipline, or holds professional qualifications in the field of accounting or finance;
• Minimum 5 (five) years of working experience in the related areas such as accounting, auditing, recovery, insolvency, restructuring, management of non-performing assets, financial modelling, corporate finance, mergers and acquisitions (M&A), due diligence and transaction services;
• Experience in prudential supervisory of financial institutions and other regulatory agencies would be an added advantage;
• Knowledge and understanding of the financial industry (banking and insurance), including experience in Islamic finance, financial markets, banking system and operations, banking regulatory compliance, financial modelling, due diligence and valuation;
• Good understanding of the relevant regulatory practices and requirements relating to banking;
• Strong analytical and problem-solving skills;
• Ability to interact effectively at all levels of Management and across the organisation;
• Experience in project managing large projects across different departments or entities, and ability to work effectively with multiple teams.

Cybersecurity Specialist – OT & IoT Infrastructure

Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2025, Continental generated sales of €19.7 billion and employed around 93,000 people in 54 countries and markets.

Tire solutions from the Tires group sector make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers. In fiscal 2025, the Tires group sector generated sales of 13.8 billion euros. Continental's tire division employs more than 56,000 people worldwide and has 20 production and 16 development sites.

Job Description

As a Cybersecurity Specialist you will be working in the central team with worldwide responsibility for Cybersecurity topics within Continental.

Those will be your future main tasks:

Cybersecurity Consulting

• generic cybersecurity consulting for other teams, IT functions and business functions
• collaboration within the global cybersecurity community
• publishing cybersecurity information to various audiences
• providing technical expertise on IT cybersecurity technologies to other IT and business teams worldwide

Project Support

• cybersecurity consulting (including rule compliance, technical topics, support during provider interviews)
• review of security checklists
• security review of solution / product / architecture documentation
• documentation & solution approval

Service Requests

• consulting for cybersecurity-related service requests (changes, incidents, work orders)
• review and approval of cybersecurity-related service requests (changes)

Cybersecurity Rules

• definition & review of cybersecurity rules
• definition & review of supporting documents (standards, guidelines, checklists, etc.)
• consulting towards understanding & implementing rule requirements

Cybersecurity Incident Support

• cybersecurity guidance/consulting for other IT functions or cybersecurity teams
• coordination with other IT functions or cybersecurity teams
• technical analysis

Audit Support

• support of technical cybersecurity audits, tests and assessments

Trend Evaluation

• evaluation of current technology and cybersecurity trends

Focus Topics

• OT security (shopfloor IT)
• IoT & non-office device security
• network security
  

Qualifications

• Academic degree in information technology or similar qualification through professional education and existing work experience in IT (enterprise environment)
• Several years of work experience in enterprise IT environments (preferrably including cybersecurity)
• Experience with working in international project teams
• Communication Skills to effectively communicate information to various target groups
• Interest in current technology trends
• Willingness to travel from time to time
• Proficiency in English language
  

Knowledge on:

• Cybersecurity concepts, architectures, solutions
• General IT architecture and concepts (computers, network, cloud, storage, etc.)
• Operating systems (Linux, Windows)
• Network security
• OT specific communication protocols (Modbus, Profinet, OPC UA, BACnet, etc.)
• IoT & non-office devices (sensors, building automation, digital signage, access control systems, etc.)
• project management (optional)
• security frameworks/standards (OWASP, NIST, CIS, ISO 27000 family, BSI, etc.)
• ITSM processes (Incident Management, Change Management, Request fulfillment)
  

Additional Information

If this sounds like a perfect match for you and if you want to become the next supporter of our core values Trust For One Another, Passion to Win and Freedom to Act, we are looking forward receiving your application.

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Ready to drive with Continental? Take the first step and fill in the online application.

Cybersecurity Specialist – Cybersecurity Reporting, Data Analytics & Data Architecture

About the job

Company Description

Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €39.7 billion in 2024 and currently employs around 95,000 people in 54 countries and markets.

Tire solutions from the Tires group sector make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers. In fiscal 2024, the Tires group sector generated sales of 13.9 billion euros. Continental's tire division employs more than 57,000 people worldwide and has 20 production and 16 development sites.

Job Description

We are seeking an experienced Cybersecurity Specialist to drive cybersecurity reporting, analytics, and data management capabilities in Cybersecurity. The role is responsible for designing and maintaining reporting solutions, building scalable data architectures, automating data collection and analysis processes, and delivering actionable insights to management and executive stakeholders.

Key Responsibilities

• Design, develop, and maintain enterprise-grade cybersecurity reporting and analytics solutions.
• Build and optimize data models, data pipelines, and reporting architectures to support cybersecurity operations and strategic decision-making.
• Develop interactive dashboards and visualizations using Power BI and related technologies.
• Design and implement automated data collection, transformation, and validation processes using Python, SQL, APIs, and scripting technologies.
• Integrate data from multiple cybersecurity platforms, tools, and data sources into a centralized reporting environment.
• Define and maintain cybersecurity KPIs, metrics, scorecards, and executive dashboards.
• Perform advanced data analysis to identify trends, risks, compliance gaps, and opportunities for improvement.
• Collaborate with cybersecurity teams, IT, business stakeholders, and management to translate reporting requirements into scalable technical solutions.
• Contribute to the development of data governance, data quality, and reporting standards within cybersecurity.
• Support strategic initiatives through data-driven insights and predictive analytics where applicable.

Technical Skills & Experience

• Academic degree in Cybersecurity, Information Security, Computer Science, Data Science, Data Analytics, Information Systems, or a comparable qualification.
• Several years of professional experience in cybersecurity reporting, data analytics, business intelligence, data engineering, or related technical disciplines.
• Expert-level SQL skills, including complex query development, performance optimization, data modeling, and database design.
• Strong hands-on experience with Python for data analysis, automation, scripting, ETL processes, and data engineering.
• Advanced proficiency in Power BI, including semantic modeling, DAX, Power Query, dashboard development, and data visualization.
• Experience designing and maintaining scalable data architectures and reporting platforms.
• Strong knowledge of APIs, database technologies, cloud-based data services, and data integration frameworks.
• Experience developing cybersecurity KPIs, management reporting, executive dashboards, and board-level presentations.
• Strong understanding of cybersecurity concepts, risk management, and security frameworks such as ISO 27001, NIST, CIS Controls, or NIS2.
• Experience with automation, reporting optimization, and large-scale data processing.
• Knowledge of Microsoft Azure data services, Microsoft Fabric, or comparable modern data platforms is an advantage.

Certifications (Preferred But Not Required)

• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Microsoft Azure Data Fundamentales (DP-900)
• Microsoft Azure Data Engineer Associate (DP-203)
• Microsoft Fabric Analytics Engineer Associate (DP-600)
• Security+
• CISSP, CISM, or comparable cybersecurity certification
  

Soft Skills

• Strong analytical and problem-solving capabilities.
• Ability to translate complex technical data into meaningful business insights.
• Excellent communication and stakeholder management skills.
• Strong attention to detail and commitment to data quality.
• Ownership mindset with a strong continuous improvement orientation.
• Ability to work independently while effectively collaborating across global teams.
• Structured, proactive, and results-driven working style.
  

Applications from severely handicapped people are welcome.

Additional Information

Individual development planning based on your personal needs and targets (e. g. mentoring, trainings or global internal Software Academy)

• Performance bonus
• Casual leave with pay (e. g. paternity leave, marriage of your children)
• Agile and collaborative workstyle
• Opportunity to make a difference
• Employee discounts
• Employee Providence Fund 16% upon confirmation
• Group Term Life Insurance
• Unlimited medical coverage for your spouse and children, incl. general, optical and dental health and hospitalization coverage
• Canteen on-site
• Sport center on-site incl. Continental sports club
• On-site physicians

If this sounds like a perfect match for you and if you want to become the next supporter of our core values Trust For One Another, Passion to Win and Freedom to Act, we are looking forward receiving your application.

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Ready to drive with Continental? Take the first step and fill in the online application.