Total 10 Senior Executive information technology job vacancies in Maintenance / Repair category in Malaysia

The Team:

The DBS Investments and Trading Technologies (ITT) Data Team works with stakeholders across all pillars of the Global Financial Markets (GFM) Department to create proprietary algorithms and data science solutions for trading, sales, and operations.

We are seeking a machine learning specialist who thrives in dynamic environments, possesses a strong foundation in data science and a keen interest in leveraging data to drive innovation in the financial markets and banking sector.

Responsibilities:

1. Utilize extensive financial datasets to drive end-to-end data science solutions for algorithmic pricing, experiment design, process optimization, and customer hyper-personalization.
2. Work with quants, traders, and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the adoption of optimal methodologies.
4. Implement and train AI/ML models, optimizing algorithm and system efficiency through GPU distributed computing and concurrent programming.
5. Create reusable libraries/ microservices, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

1. Bachelor's degree or higher in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
2. Proficient in the data science project life cycle, demonstrated by a proven track record of working with structured, semi-structured, and unstructured data.
3. Deep understanding and application of various machine learning concepts, their mathematical underpinnings, and trade-offs.
4. Exceptional programming skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
5. Familiarity with software development best practices and tools such as Agile methodologies, Jira, Jenkins, and Git.

Good to have (Two or more):

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.
2. Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, and their applications to pricing and marketing domains.
3. Hands-on experience in designing and executing digital experimentation and hypothesis testing, including A/B testing, bandit-based experiments, and multivariate analysis.
4. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.
5. Experience with machine learning applications in financial markets with a solid understanding of market dynamics, and key drivers.
6. Experience developing reinforcement learning models and frameworks at scale.
7. Strong research background with experience conducting literature reviews and prototyping fit-for-purpose custom models.
8. Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.

Key Skills: python, algorithms & data structures, machine learning, causal inference, SQL, experimentation, A/B Testing, multi-armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis, RAG, large language models.

Internal Description

Description - Internal

The Team:

The DBS Investments and Trading Technologies (ITT) Data Team works with stakeholders across all pillars of the Global Financial Markets (GFM) Department to create proprietary algorithms and data science solutions for trading, sales, and operations.

We are seeking a machine learning specialist who thrives in dynamic environments, possesses a strong foundation in data science and a keen interest in leveraging data to drive innovation in the financial markets and banking sector.

Responsibilities:

1. Utilize extensive financial datasets to drive end-to-end data science solutions for algorithmic pricing, experiment design, process optimization, and customer hyper-personalization.
2. Work with quants, traders, and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the adoption of optimal methodologies.
4. Implement and train AI/ML models, optimizing algorithm and system efficiency through GPU distributed computing and concurrent programming.
5. Create reusable libraries/ microservices, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

1. Bachelor's degree or higher in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
2. Proficient in the data science project life cycle, demonstrated by a proven track record of working with structured, semi-structured, and unstructured data.
3. Deep understanding and application of various machine learning concepts, their mathematical underpinnings, and trade-offs.
4. Exceptional programming skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
5. Familiarity with software development best practices and tools such as Agile methodologies, Jira, Jenkins, and Git.

Good to have (Two or more):

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.
2. Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, and their applications to pricing and marketing domains.
3. Hands-on experience in designing and executing digital experimentation and hypothesis testing, including A/B testing, bandit-based experiments, and multivariate analysis.
4. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.
5. Experience with machine learning applications in financial markets with a solid understanding of market dynamics, and key drivers.
6. Experience developing reinforcement learning models and frameworks at scale.
7. Strong research background with experience conducting literature reviews and prototyping fit-for-purpose custom models.
8. Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.

Key Skills: python, algorithms & data structures, machine learning, causal inference, SQL, experimentation, A/B Testing, multi-armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis, RAG, large language models.

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.

Benefits:

• Competitive salary and performance-based incentives.
• Dynamic and collaborative working environment.
• Comprehensive benefits package, including healthcare.
• Continuous learning and professional growth opportunities.

Job Description

• Assist the Manager in the implementation of the Facility Management Enterprise System Platform and Facilities Maintenance Management System on site.
• Directly in charge of the implementation of IoT Sensors, Smart Meters, Facilities Maintenance Management System, etc on site.
• Assists in the collation and analysis of information from the FM Enterprise System to facilitate decisions and report for stakeholders.
• Assist the Manager to source, evaluating vendors and negotiating contracts to support project implementation.
• Management of project timeline and expectation, while building strong relationships in the process to achieve customer satisfaction
• Any other assignments as and when directed by the Management

Requirements

• Diploma in IT, Intelligent Building, Green FM, Building Services and with minimum 3 years of relevant work experience
• Candidate with IT and digital knowledge in built environment will be an advantage
• Good communication (written and version) skills and possess strong presentation skills
• Ability to multi-task and manage multiple projects simultaneously
• Passion in promoting digital transformation and technology solutions

Work Dynamics - Integrated Facilities Management

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Duties and responsibilities

• Provide superior customer service to meet on-site client’s expectations
• Oversee and manages cleaning and soft service operations on site. Ensure positive work experience for all users.
• Managing cleaning vendors and ensure reporting is submitted regularly.
• Ensuring the office, meeting rooms, pantry, cleanroom and warehouse area are clean, tidy, secure and in line with workplace safety requirements

Procurement & Vendor Management

• Assist in the management of vendors on site to ensure they perform to the required standards (including inspection of vendors’ works, regular training and meetings)
• Assist in the procurement of vendors and services when required
• Assist in contract management for vendors

Finance Management

• Assist in annual budget for OPEX.
• Assist in financial processes to ensure that all financial management requirements are completed in a timely and accurate manner
• Ensure prompt and accurate management of purchase orders in JDE

Health & Safety Management

• Conduct regular audits and site walks to ensure safety procedures on site are in place and working
• Assist in carrying out safety procedures and investigation when needed

Site Operations Management

• Assist in the implementation of Best Practice operations
• Conduct site inspections and assessments to ensure all cleaning procedures and performance measures are maintained at all times
• Seek ways to constantly reduce costs and improve operational standards
• Maintain premises in neat and good working condition at all times
• Coordinate with vendors to ensure that pantry and vending machine items are always in stock
• Lead meeting with client / stakeholder on cleaning and soft services operations.
• Weekly presentation on site operation and expenses

Risk Management

• Assist in the implementation and management of property risk management program
• Follow established escalation procedures and incident reporting procedures
• Adhere to Jones Lang LaSalle’s business conduct by ensuring compliance with the firm’s guidelines, procedures and strategies
• Achieve Key Performance Indicators and Service Level Agreement targets

Required Qualifications & Experience

• At least 2 to 3 years of prior experience in facilities, property management, hospitality or related field preferred
• Minimum diploma in any related discipline
• Knowledge of local occupational health and safety requirements, critical facilities and vendor management for specialized services is advantageous
• Understanding of cleaning operations and cleanroom cleaning will be advantageous.
• Able to cooperate and work well with others to meet targets
• Support the team effectively as and when needed
• Proven ability to commit to flawless execution while complying with firm’s procedures and standards
• Able to interact with the client staff & vendors with ease
• Ability to manage conflict and conflicting priorities
• Demonstrates ability to work with vendors to deliver efficient services
• Demonstrates proactive & professional approach to customer service
• Has a customer-oriented attitude
• Proven ability to manage multiple and complex operational matters on a daily basis
• Demonstrates ability to prioritize and manage the completion of projects in an efficient and timely manner

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Job Description

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OVERVIEW

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.  Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. 

Homes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level – and we’re doing it again with the new Homes.com.  Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com we’re building a brand on the cusp of defining the industry.

We’re looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company. 

Learn more about Homes.com. 

CoStar delivers real-time, verified real estate data that helps clients confidently spot great opportunities and make smart choices ahead of competitors. By combining the power of CoStar’s independent research organization – the industry’s largest – with global data delivery, software, and application solutions, clients can act on opportunities with confidence.

Machine Learning Engineers at CoStar play an important role in this process, by mining data from sources including billions of pageviews, millions of images, vast geographic data, deep property content, and much more. We enhance our extensive property database, personalize our customers’ experience on our product websites, and create innovative datasets and forecasts that are the industry standards in our market leading products.

We are searching for a Senior Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. We are growing rapidly to help invent the future of Real Estate, with Data Science playing a critical role in that growth.

RESPONSIBILITIES

·       Collaborate on the continued improvement of CoStar’s cloud-based machine learning environment.

·       Design, build, test and deploy scalable, reusable, and maintainable models that handle large amounts of data.

·       Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improve our customer’s experience.

·       Gain an understanding of the CoStar business and how ML can improve things.

BASIC QUALIFICATIONS

·       Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field. MSc or PhD is a plus.

·       A track record of commitment to prior employers 

·       5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role

·       5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.

·       Work experience with Image Classification, Object Detection, NER, or Recommendation Systems.

·       Experience building data pipelines to collect data, train and test models, measure model performance, run inference on large datasets, and output results.

·       Experience with ML libraries such as TensorFlow, Keras, and Scikit-learn.

·       Experience with data manipulation and visualization libraries such as pandas, matplotlib, seaborn, or Plotly.

·       Strong math and analytical skills.

PREFERRED SKILLS

·       Experience with databases, such as SQL Server, AWS RDS, DynamoDB.

·       Experience solving streaming and batch data processing problems at scale.

·       Experience with ML cloud tools such as Databricks, Amazon Personalize, Comprehend, SageMaker, and Rekognition.

·       Experience with integration of input data from a variety of sources.

What’s in it for You

When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program.

Our benefits package includes (but is not limited to):

·       Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug

·       Life, legal, and supplementary insurance

·       Virtual and in person mental health counseling services for individuals and family

·       Commuter and parking benefits

·       401(K) retirement plan with matching contributions

·       Employee stock purchase plan

·       Paid time off

·       Tuition reimbursement

·       On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes

·       Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups

·       Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply.  However, please note that CoStar Group is not able to provide visa sponsorship for this position.

This position offers a base salary range of $142,600.00 – 230,300.00, based on relevant skills and experience and includes a generous benefits plan.

#LI-Hybrid

#LI-VP1

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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Job Responsibilities:

• Handle installation & commissioning of Uninterruptible Power Supply (UPS) Systems.
• Schedule & respond to preventive & corrective maintenance of UPS
• Project co-ordination
• To carry out troubleshooting and repair works if necessary.

Job Requirements:

• NITEC/ Higher NITEC/ Diploma/ Degree in Electronic & Electrical Engineering or equivalent.
• 1 - 2 years of relevant experience in Data Centre environment preferred. Fresh graduates are welcome.
• Possess Good Interpersonal & Communication Skills
• Able to work independently, self-motivated and a team player
• Class 3 Driving License preferred

Other Info

• Salary will commensurate according to Candidates’ Work Experience & Qualifications)
• Basic + AWS + variable Bonus + other duty Allowances
• 5 work day week (rostered, Non overnight)

Email your application to hr.recruitment@finnlayson.com.sg

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.

Benefits:

Competitive salary and performance-based incentives.

Dynamic and collaborative working environment.

Comprehensive benefits package, including healthcare.

Continuous learning and professional growth opportunities.

Career Category

Job Description

Primary Responsibilities:

The Senior Maintenance Technician will report to a Maintenance Manager and will work within the Filling, Lyophilisation or Inspection & Packaging maintenance teams with the primary responsibilities laid out below.  As the site expands, development opportunities may exist to transfer between teams and to gain experience with the equipment in each area of the plant mentioned above.

Equipment Maintenance

• Execute advanced maintenance activities on process equipment in accordance with standard operating procedures across multiple production and packaging facilities.
• Perform troubleshooting and equipment investigation works while assuring minimal impact to plant operations and in compliance with good maintenance practices, SOP’s and GMP requirements.
• Ability to work independently and as part of a team, taking responsibility for completion and handover of work, GMP documentation and ongoing maintenance of training qualifications.
• Demonstrated ability to participate in cross-functional teams to investigate non-conformances, deviations, and troubleshoot issues to establish root causes and corrective actions.

Projects and Continuous Improvement

• Support projects and start-up of new process plant, inspection or packaging equipment.
• Support process investigations, trials, machine upgrades and testing in conjunction with the wider engineering team.
• Assist with the development, execution, and support of the CQV (Commissioning, Qualification, Validation) process.
• Identify and implement improvement ideas to enhance equipment operation, reliability and the efficiency of maintenance programs.

GMP and Compliance

• Maintain high levels of aseptic compliance and housekeeping standards in manufacturing areas, workshops and training areas whilst operating as part of a cross functional team to support the plant.
• Demonstrated ability to self-maintain online and practical training or qualification status in compliance with site operating procedures and key area metrics.
• Ensure work is undertaken in a safe, compliant manner in accordance with legislative, site and corporate safety and quality procedures.

Documentation

• Ensure that maintenance documentation is completed accurately and in accordance with applicable procedures such as ALCOA+ principles.
• Develop, revise & review relevant technical documents (Maintenance SOP’s, Job Plans, P&IDs etc.) in conjunction with the broader Engineering support team.
• Familiarity with the purpose and use of CMMS systems, Electronic Batch Records and electronic logs.

Primary Knowledge and Education:

• Recognised apprenticeship in an electrical / mechanical craft.
• Leaving Certificate or equivalent (minimum five passes including English and Mathematics).
• Ability to read and understand mechanical drawings, technical manuals, electrical wiring schematics, layout drawings and P&ID’s.

Preferred Qualifications and Experience:

• Combined education, training and experience in mechanical / electrical maintenance, experience in a regulated manufacturing environment would be an advantage.
• Any relevant experience in an automated inspection and packaging environment would also be an advantage.
• Knowledge and experience working in a pharmaceutical or aseptic manufacturing facility.
• Knowledge of pneumatic, mechanical, hydraulic systems and ability to effectively perform associated maintenance activities on these systems.
• Knowledge and experience of working with electrical panels.
• Experience executing and documenting maintenance work in a computerised maintenance management system.
• Ability to interpret P&ID's, identify hazards, isolation points and inter-dependancies between services for LOTO purposes.
• Ability to work with minimum direction, identify issues and effectively communicate the status of equipment or tasks in a timely manner.

• Building and Plant systems maintenance - system such as heating, ventilation, clean room, dry room and air purification, electrical plumbing and water purification, security and fire protection systems. To maintain and troubleshoot issues and co-ordinating repair works.
• Compliance with relevant authority on safety, energy and environmental regulations, developing and implementing safety procedures, conduct regular inspections and to ensure compliance to meet latest regulatory requirements.
• To Plan and execute the necessary changes to support the introduction of new technologies and equipment. Create, modify and design new spaces to meet the needs. Co-ordinating with internal and external parties to ensure the smooth execution of new expansion project plan.
• To monitor and manage the performance and life cycle of facilities assets, its renewal, upgrading and disposal.
• Project budget and cost control.
• Analyse project costs and preparing budgets.
• Design, develop and oversee the implementation of facility expansion plan. Co-ordinate with internal and external parties during the work execution phase.

Work Dynamics - Integrated Facilities Management

Assist Facilities Manager in managing the services, day to day liaising with DC in charge & GIPS/DCFM in explaining and resolving their problems

Effectively manage engineering and related administration functions, ensuring all procedures, processes, and client requirements are undertaken in a timely and efficient manner

Manage building/electrical/mechanical/plumbing system maintenance, including Air-con, UPS, CRAC, Switchgear, Alarm system, BMS system, Fire Protection system, Water supply, drainage system, miscellaneous electrical systems and appliances

Ensure the implementation and management of Risk & Safety work practices to reduce the interruption to Bank’s operations

Manage a team of Executive, senior technicians and technicians to deliver all engineering operations, troubleshooting and issue resolution

Manage vendors and contractors to ensure that planned Preventive Maintenance is carried out in accordance with specifications, local codes and safe practices

Manage a programme of inspections for the assigned properties on Energy conservation, Maintenance practices, Utility management and Risk management procedures.

Identify and drive the implementation of engineering-related cost saving initiatives

Implementation of risk mitigation measures and ensuring a safe work environment is maintained at all times

Coordination with building operations teams and following of client and building protocols relating to maintenance work and access

Ensure all safety procedures, including Crisis Management/ Business Continuity and Emergency Procedures are established, maintained and followed at all times

Oversee the effective management of data centre related facilities assigned, perform regular analysis of assets performance data, perform hands-on operations to mitigate data centre related facilities failure in a timely manner

Conduct risk assessments of equipment and data centre related facilities failures and take proactive action for preventive maintenance

Perform regular reviews of electrical and mechanical systems performance, failures, analysis and rectification of the breakdowns in a timely manner

Any other function necessary for effective operations of the Properties or as directed by the management