Total 678 information technology job vacancies in D04 Harbourfront,Telok Blangah, Sentosa Island

Job Description

• Follow electrode design drawing to prepare copper material with EROWA holder.Follow program sheet to prepare cutter.
• Setup electrode holder into CNC machine and check CNC profile and de-burring
• Setup steel work piece and check CNC profile with 3D model (UG software)
• Self-inspection and write the dimension checking
• Observe the correct working method
• Meet the Quality, Productivity & Efficiency as per KPI requirement
• Ensure the maintenance of machine been carried out and documented
• Ensure good housekeeping is maintained with the work areas

Requirements

• GCE ‘N’ Level or NTC 3 & 2
• At least 2 yrs relevant working experience
• Fresh IT graduates with no prior working experience are welcome

Please indicate your notice period, current/last drawn and expected salary.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Data Engineer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Focuses on DataOps from ingesting to deployment. Portfolio to be requested here.
• Maintain and enhance trading pipelines.
• Combine various data sources via API or scraping into a singular source of truth.
• Develop feature store and automate features cleaning, processing, engineering, and monitoring of drifts.
• Develop data lineage of each feature and also ensuring features integrity with data fingerprinting techniques.
• Work with batch and streaming data and reduce anomalies in data or gaps in different financial data sources.
• Build, maintain, enhance data pipelines using DataOps, MLOps and AIOps frameworks.
• Work with full suite of data and model infrastructure and integration i.e. SageMaker Studio
• Part of a sub-team focusing on full autonomous AI Trading under a larger trading division.

Requirements:

• Bachelor’s and above
• Must have languages: Python, SQL & NoSQL
• Must have database experiences: Mapreduce, Partitioning, Spark etc.
• Must have data ingestion tools: Kafka, Flume or Sqoop etc.
• Must have data management experiences: Feature Store, Engineering Reproducibility etc.
• Must have testing experiences: Unit Tests, Errors Handling to ensure trading system remains fault tolerance and robust
• Must have orchestration tools: DAGs in Airflow or Prefect, MLFlow
• Must have deployment experiences: Docker, AWS S3, Lambda etc
• Extremely good to have languages: C, C# C++, Java
• Extremely good to have capabilities: Scripting in vim, Neo4j

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented MLOPs Software Engineer with an interest in finance to join our growing team in our Singapore office.

Responsibilities

• Focuses on MLOps from model training, model evaluation to trading evaluation. Portfolio to be requested here.
• Develop large-scale deployment of GPU nodes running in dozens of Kubernetes clusters across regions. Core technologies may include: CUDA, Python, PyTorch, Triton, Redis, NCCL, NVLink.
• Develop simulation pipelines to scale the testing of hyperparameters for model training and for trading. The innovation here lies in ability to synchronize model parameters with financial trading parameters.
• Automate feature evaluation and experimentation for model training.
• Automate model training and model performance evaluation.
• Combine classical model evaluation with financial trading evaluation metrics such as Sharpe, Turnover, Fitness, Returns, Drawdown, Margin, Long Count, Short Count, Sector/Subindustry Allocations etc.
• Build, maintain, enhance model pipelines using MLOps and AIOps frameworks.
• Work with full suite of data and model infrastructure and integration i.e. SageMaker Studio or Vertex A.I.
• Work with Data Scientists to setup model monitoring and feedback systems.
• Part of a sub-team focusing on full autonomous AI Trading under a larger trading division.

Requirements:

• Bachelor’s and above. Software Engineering background would be preferred.
• Must have stack: CUDA, PyTorch, low level languages such as C++ or Go.
• Must have experiences (Any of these passes):
  • High scale distributed training and inference systems and ML systems.
  • Parallel and distributed computing with multiple gpus at once
  • High throughput scheduling as a service particularly at supercomputing scale.
  • Understand how to resolve Segmentation Faults
• Must have testing, debugging experiences: Unit Tests, Integration Tests, Errors Handling to ensure trading system remains fault tolerance and robust
• Must have orchestration tools: DAGs in Airflow or Prefect, MLFlow
• Must have deployment experiences: Docker, AWS, Load Testing etc
• Good to have network technologies inside and out

Mandatory Skills

Job Description :-

• The role will mainly manage KRIs and tech debt amongst other risk tasks
• Risk Identification: Identify and define Key Risk Indicators (KRIs) relevant to the organization's objectives and risk appetite
• Data Collection and Analysis: Collect and analyze data to determine the current status of key risk indicators, ensuring accuracy and relevance
• Monitoring and Reporting: Continuously monitor KRIs and provide regular reports to management, highlighting emerging risks and trends
• Risk Assessment: Assess the significance of deviations from established risk thresholds and escalate issues as necessary
• Communication: Effectively communicate risk insights to stakeholders, including executives and department heads
• Risk Mitigation Strategies: Collaborate with risk owners to develop and implement strategies for mitigating identified risks
• Policy Development: Contribute to the development and enhancement of risk management policies and procedures
• Regulatory Compliance: Stay informed about relevant regulations and ensure that the organization's risk management practices align with legal requirements
• Technology Utilization: Leverage technology tools for efficient KRI monitoring and reporting.

Required Skills :-

• Risk Management: Strong understanding of risk management principles and methodologies
• Analytical Skills: Proficient in data analysis and interpretation to derive meaningful insights from key risk indicators
• Communication Skills: Excellent verbal and written communication skills to convey complex risk information clearly to diverse audiences
• Collaboration: Ability to collaborate with cross-functional teams and influence decision-making related to risk management
• Problem-Solving: Strong problem-solving skills to address emerging risks and develop effective mitigation strategies
• Regulatory Knowledge: Familiarity with relevant industry regulations and compliance requirements
• Technology Proficiency: Competence in using risk management software and data analytics tools
• Attention to Detail: Meticulous attention to detail to ensure accuracy in risk data and reporting
• Adaptability: Ability to adapt to changing risk landscapes and implement proactive measures
• This role involves a combination of technical skills, strategic thinking, and effective communication to ensure the organization is equipped to manage its key risks.

Please note of the mandatory skills :-

• Data Collection and Analysis: Collect and analyze data to determine the current status of key risk indicators, ensuring accuracy and relevance.
• Analytical Skills: Proficient in data analysis and interpretation to derive meaningful insights from key risk indicators.
• Communication Skills: Excellent verbal and written communication skills to convey complex risk information clearly to diverse audiences.
• Technology Proficiency: Competence in using data analytics tools. High proficiency in Microsoft Excel.

Mandatory Skills

Job Description :-

• The role will mainly manage KRIs and tech debt amongst other risk tasks
• Risk Identification: Identify and define Key Risk Indicators (KRIs) relevant to the organization's objectives and risk appetite
• Data Collection and Analysis: Collect and analyze data to determine the current status of key risk indicators, ensuring accuracy and relevance
• Monitoring and Reporting: Continuously monitor KRIs and provide regular reports to management, highlighting emerging risks and trends
• Risk Assessment: Assess the significance of deviations from established risk thresholds and escalate issues as necessary
• Communication: Effectively communicate risk insights to stakeholders, including executives and department heads
• Risk Mitigation Strategies: Collaborate with risk owners to develop and implement strategies for mitigating identified risks
• Policy Development: Contribute to the development and enhancement of risk management policies and procedures
• Regulatory Compliance: Stay informed about relevant regulations and ensure that the organization's risk management practices align with legal requirements
• Technology Utilization: Leverage technology tools for efficient KRI monitoring and reporting.

Required Skills :-

• Risk Management: Strong understanding of risk management principles and methodologies
• Analytical Skills: Proficient in data analysis and interpretation to derive meaningful insights from key risk indicators
• Communication Skills: Excellent verbal and written communication skills to convey complex risk information clearly to diverse audiences
• Collaboration: Ability to collaborate with cross-functional teams and influence decision-making related to risk management
• Problem-Solving: Strong problem-solving skills to address emerging risks and develop effective mitigation strategies
• Regulatory Knowledge: Familiarity with relevant industry regulations and compliance requirements
• Technology Proficiency: Competence in using risk management software and data analytics tools
• Attention to Detail: Meticulous attention to detail to ensure accuracy in risk data and reporting
• Adaptability: Ability to adapt to changing risk landscapes and implement proactive measures
• This role involves a combination of technical skills, strategic thinking, and effective communication to ensure the organization is equipped to manage its key risks.

Please note of the mandatory skills :-

• Data Collection and Analysis: Collect and analyze data to determine the current status of key risk indicators, ensuring accuracy and relevance.
• Analytical Skills: Proficient in data analysis and interpretation to derive meaningful insights from key risk indicators.
• Communication Skills: Excellent verbal and written communication skills to convey complex risk information clearly to diverse audiences.
• Technology Proficiency: Competence in using data analytics tools. High proficiency in Microsoft Excel.

Mandatory Skills

Job Description :-

• The role will mainly manage KRIs and tech debt amongst other risk tasks
• Risk Identification: Identify and define Key Risk Indicators (KRIs) relevant to the organization's objectives and risk appetite
• Data Collection and Analysis: Collect and analyze data to determine the current status of key risk indicators, ensuring accuracy and relevance
• Monitoring and Reporting: Continuously monitor KRIs and provide regular reports to management, highlighting emerging risks and trends
• Risk Assessment: Assess the significance of deviations from established risk thresholds and escalate issues as necessary
• Communication: Effectively communicate risk insights to stakeholders, including executives and department heads
• Risk Mitigation Strategies: Collaborate with risk owners to develop and implement strategies for mitigating identified risks
• Policy Development: Contribute to the development and enhancement of risk management policies and procedures
• Regulatory Compliance: Stay informed about relevant regulations and ensure that the organization's risk management practices align with legal requirements
• Technology Utilization: Leverage technology tools for efficient KRI monitoring and reporting.

Required Skills :-

• Risk Management: Strong understanding of risk management principles and methodologies
• Analytical Skills: Proficient in data analysis and interpretation to derive meaningful insights from key risk indicators
• Communication Skills: Excellent verbal and written communication skills to convey complex risk information clearly to diverse audiences
• Collaboration: Ability to collaborate with cross-functional teams and influence decision-making related to risk management
• Problem-Solving: Strong problem-solving skills to address emerging risks and develop effective mitigation strategies
• Regulatory Knowledge: Familiarity with relevant industry regulations and compliance requirements
• Technology Proficiency: Competence in using risk management software and data analytics tools
• Attention to Detail: Meticulous attention to detail to ensure accuracy in risk data and reporting
• Adaptability: Ability to adapt to changing risk landscapes and implement proactive measures
• This role involves a combination of technical skills, strategic thinking, and effective communication to ensure the organization is equipped to manage its key risks.

Please note of the mandatory skills :-

• Data Collection and Analysis: Collect and analyze data to determine the current status of key risk indicators, ensuring accuracy and relevance.
• Analytical Skills: Proficient in data analysis and interpretation to derive meaningful insights from key risk indicators.
• Communication Skills: Excellent verbal and written communication skills to convey complex risk information clearly to diverse audiences.
• Technology Proficiency: Competence in using data analytics tools. High proficiency in Microsoft Excel.

Job Description:

· Lead and conduct fit-gap and design workshops to design business process and solutions and configuration to support customer requirements.

· Own and aggressively drive forward specific areas of technology architecture within the Oracle Financials Suite (GL, FA, AP, AR, etc.) and Cloud Financials Suite.

· Provide architectural solutions/designs to project execution teams for implementation.

· Provide architectural assessments, strategies, and roadmaps for one or more technology domains.

· Lead projects within architecture. Work with Product Development/Client Business Owner/Business Analysts to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.

· Project and solution estimation and team structure definition.

· Develop Proof-of-Concept projects to validate new architectures and solutions.

· Liaise with offshore team and clients for resolving technical dependencies, issues, and risks.

· Mentor and provide architectural guidance to multiple teams building innovative applications.

Job Requirements:

• Strong business acumen and accounting knowledge

• Strong ERP implementation experience in FSI industry

• More than 15 years of experience relevant to this position including consulting experience in Finance Consulting and IT Implementation Consulting for Oracle or other leading Business Applications

• Experience in implementation of Oracle E-Business Suite Financials, Oracle Financials Cloud and Oracle Financials Accounting Hub Cloud.

• Operates independently by applying Oracle methodology, company procedures, leading practices, and creativity to develop business solutions on moderately complex customer engagements.

• Must be able to work night shift or split shift
• Must be able to work extra hours or weekend if needed

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

We are looking for a Quantitative Analyst who will be responsible for developing and implementing AI-driven models and algorithms to enhance our investment strategies. The ideal candidate will have a strong background in quantitative analysis, machine learning, and programming, with a focus on Python.

Key Responsibilities:

• Research, develop, and implement quantitative models and algorithms leveraging AI techniques such as machine learning, deep learning, and natural language processing.
• Analyze large datasets to identify patterns, trends, and insights that can be used to enhance investment strategies.
• Collaborate with portfolio managers and other stakeholders to understand their investment objectives and develop tailored solutions.
• Conduct backtesting and performance analysis to evaluate the effectiveness of quantitative models and strategies.
• Stay abreast of the latest developments in AI, machine learning, and quantitative finance, and incorporate relevant advancements into our processes and methodologies.
• Work closely with the technology team to implement scalable and efficient solutions for model deployment and productionization.

Qualifications:

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Physics.
• Strong quantitative skills with a deep understanding of probability theory, statistics, and optimization.
• Proficiency in Python programming and experience with relevant libraries and frameworks such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning is highly desirable.
• Experience working with financial data and applying quantitative techniques to investment analysis.
• Excellent communication and collaboration skills, with the ability to explain complex concepts to non-technical stakeholders.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Description:

This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

Responsibilities:

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• Automates manual release activities
• Designs, develops, and maintains automated test suites (integration, regression, performance)
• Research, design, and develop computer and network software or specialized utility programs.
• Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Skills:

• Application Development
• Automation
• Influence
• Solution Design
• Technical Strategy Development
• Architecture
• Business Acumen
• DevOps Practices
• Result Orientation
• Solution Delivery Process
• Analytical Thinking
• Collaboration
• Data Management
• Risk Management
• Test Engineering

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Description:

This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

Responsibilities:

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• Automates manual release activities
• Designs, develops, and maintains automated test suites (integration, regression, performance)
• Research, design, and develop computer and network software or specialised utility programs.
• Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Skills:

• Application Development
• Automation
• Influence
• Solution Design
• Technical Strategy Development
• Architecture
• Business Acumen
• DevOps Practices
• Result Orientation
• Solution Delivery Process
• Analytical Thinking
• Collaboration
• Data Management
• Risk Management
• Test Engineering

Dexon is looking for experienced salespersons to expand and develop business in local Singapore market. We are expanding our market for unique technologies for pipeline inspection (ILI), drones (UAV) and 3D scanning services as well as advanced NDT methods. Working hand in hand with our HQ in Thailand to achieve the target.

Requirement (not limited to):

· Experience with Singapore process industry and/or marine construction or other relevant industries

· Experience with sales of UAV, 3D-scanning, ILI, Custom Solutions, and inspection expertise

· Affinity with technical sales processes and marketing

· Good computer and communication skills

· Technical educational background is preferred

· Minimum 3 years of working experience in the field of NDT inspection is preferred

· Experience in SAP B1 System preferred

· Have own transport preferred

Potential candidates will be evaluated with leverage on communication skills, team work abilities, pro-activeness and accountability. Skills to master technical subject discussions, understanding clients’ needs requirements, problem-solving and actively contribute to a professional working environment is desired.

Job Descriptions :

• Assist erection team on erection and dismantle of tower crane
• Require working at height, to climb tower crane
• Outdoor (construction site) working environment
• Shift heavy spare part
• Good health condition (no medical history)
• Able to work as a team and under pressure

Company Benefit :

• 12 days Annual Leave
• AWS
• Performance Bonus

Job Overview:

We are looking for an experienced and dynamic Head of Human Resources to join our team and lead the establishment and management of our HR department. The successful candidate will play a key role in developing and implementing HR strategies, policies, and procedures that align with our organizational goals and promote a positive workplace culture. The Head of HR will oversee all aspects of HR operations, including recruitment, employee relations, performance management, training and development, compensation and benefits, and compliance with relevant laws and regulations.

Responsibilities:

• Lead the establishment and development of the HR department, including designing organizational structure, processes, and systems.

• Develop and implement HR strategies, policies, and procedures to support the company's objectives and promote a positive work environment.

• Oversee recruitment and onboarding processes to attract and retain top talent, including sourcing candidates, conducting interviews, and facilitating new hire orientation.

• Manage employee relations issues, including conflict resolution, disciplinary actions, and grievances, ensuring fair and consistent treatment of all employees.

• Implement performance management systems to set clear expectations, provide feedback, and evaluate employee performance.

• Design and deliver training and development programs to enhance employee skills and competencies and support career growth.

• Administer compensation and benefits programs, including salary benchmarking, incentive plans, and employee recognition initiatives.

• Ensure compliance with all relevant employment laws and regulations and maintain accurate HR records and documentation.

• Collaborate with senior management to provide HR insights and recommendations to support strategic decision-making.

Requirements:

• Bachelor's degree in Human Resources, Business Administration, or a related field; Master's degree preferred.

• 10 or more years of experience in HR leadership roles, with a proven track record of setting up and managing HR departments.

• Deep knowledge of HR best practices, employment laws, and regulations.

• Strong leadership and management skills, with the ability to build and motivate high-performing teams.

• Excellent communication and interpersonal skills, with the ability to establish rapport and credibility at all levels of the organization.

• Strategic thinker with the ability to translate business objectives into HR initiatives and programs.

• Results-oriented with a focus on driving continuous improvement and delivering measurable outcomes.

• HR certification (e.g., IHRP) preferred.

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Description

• With general autonomy, supervises subordinate managers, supervisors and/or team leaders.
• Coordinates various activities that are not necessarly related.
• Develops, prioritizes and justifies various projects, processes and/or initiatives supporting strategic direction. Determines tactical direction with regard to policy/procedures, work force staffing, and budgeting.
• Set strategic direction in alignment with overall organization direction.
• Develops and manages department budgets. Manages performance and salaries of staff by hiring, firing, conducting performance appraisals, coaching and mentoring for career and skills development, and arranging training.
• Responsible for the growth and maintenance of specific core competencies and key supporting technologies. Leads a cross functional, cross department or cross Center team in developing, prioritizing and justifying various corporate projects, PSL projects and/or initiatives (e.g., standards, best practices, lessons learned).
• Possesses broad understanding of business aspects and associated technology of the PSL.
• Exhibits general management skills and understanding of associated computer aided product development tools. Supports reliability analysis and promotes optimum use of development tools and standards during the design process. Incorporates project management skills in all job processes.
• Understands and promotes HES's quality directives. Job role is independenly accountable for a large staff or support arm of the organization or a single profit/loss or revenue center, major product line, or support function.

Requirement

Skills are typically acquired through an undergraduate degree in Electrical, Mechanical, Material Science, Computer Science, Engineering or equivalent degree, and minimum of 16 years experience or through equivalent work experience. Incumbents at this level will usually hold a certification as a Licensed/Chartered Professional Engineer.