70 Predictive Analytics jobs in Malaysia
Data Analysis Specialist I
Posted today
Job Viewed
Job Description
As a Data Analysis Specialist I you will responsible for projects and acts as a liaison between the Business and the application development teams. She/He contributes to the different phases of the application life cycle, such as data modeling, maintenance, support and enhancements. Moreover, the Data Analyst responsibilities consist of:
- Identifying and analyzing business needs
- Conducting requirements gathering, and defining scope and objectives
- Making recommendations for solutions or improvements to business processes that can be accomplished through new technology or alternative uses of existing technology.
- Translating business requirements into application requirements
Business Skills
- Ability to rapidly assimilate information and processes related to one or several tracks within the Data & Analytics
- Capacity to understand, analyze and depict high level architecture or solutions to turn data to insight.
- Knowledge and experience in gathering requirements, functional design, testing and working with business processes.
- Understanding of how IT affects an organization and ability to link it to redesigned business processes.
- Utilize data analysis tools and programming languages (e.g., SQL) to manipulate and analyze data.
- Develop and maintain dashboards, reports, and data visualizations.
- Assist in project planning and coordination for data analysis initiatives.
- Track and report on project progress, ensuring that timelines and objectives are met.
Data Analyst, Analyst II is an individual contributor is responsible for tasks within a specific domain, focusing on their individual work:
- Networks with other PPG Analysts to understand how IT solutions are deployed in other areas to solve business problems.
- Foster and maintain good relationships with customers and IT colleagues to meet expected customer service levels.
- Share responsibility with other team members to ensure on-time product delivery, which require a clear understanding of expectations and capabilities as well as the ability to act effectively as a team member.
- Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.
- 0-2 years of IT or a related discipline experience. Outstanding fresh graduates are welcome.
- Analytical and conceptual skills
- Strong oral and written communication skills, including technical writing.
- Must have a strong systems and process orientation.
- Must be comfortable working remotely and lack of face-to-face time with colleagues and managers.
Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
About Us
Here at PPG we make it happen, and we seek candidates of the highest integrity and professionalism who share our values, with the commitment and drive to strive today to do better than yesterday – everyday.
PPG: WE PROTECT AND BEAUTIFY THE WORLD
Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit and follow @ PPG on Twitter.
The PPG Way
Every Single Day At PPG
We partner with customers to create mutual value.
We are “One PPG” to the world.
We trust our people every day, in every way.
We make it happen.
We run it like we own it.
We do better today than yesterday – everyday.
PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, sexual orientation, gender identity or expression. If you need assistance to complete your application due to a disability, please email
PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.
Benefits will be discussed with you by your recruiter during the hiring process. #J-18808-Ljbffr
Data Analysis Associate (Integrated Operations)
Posted 5 days ago
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Job Description
The Integrated Operations Team is responsible for the strategic planning, execution, and continuous improvement of our core seller programs. Additionally, the team holds ownership of the commercial team’s quarterly target setting and performance management processes, while also administering incentive computations for the commercial team. Furthermore, the team operates the Commercial Academy—a dedicated initiative that designs and deploys soft- and hard-skill training programs to enhance workforce capabilities.
Job Description:
• Analyze and enhance business strategies using data, optimizing resources across various teams, like sales operations, seller programmes.
• Lead our commercial target-setting process to guide business growth effectively, Create and maintain dashboards to keep track of key performance indicators.
• Work with Business Intelligence and Data Product teams to ensure our data is accurate and actionable for key stakeholders.
• Spot trends and opportunities in seller program design for improvements and maintain strong governance of financial viability.
• Monitor seller performance and provide insights to refine seller programs and optimise KAM incentive distributions according the efficient seller target setting process.
• Conduct targeted analyses to solve unique business challenges, offering data-driven solutions. Provide strategic insights to leadership on sales operations, including incentives and profitability models.
• Collaborate with Seller Engagement and Sales Operations teams to manage seller communications and inquiries.
Job Requirements:
• Bachelor’s Degree in Business Management or related field.
• At least 3-4 years of experience in Data Analytics, Business Intelligence, or commercial operations (e-commerce, consulting, or retail).
• Strong communication and interpersonal skills; you thrive in teamwork settings.
• Quick learner who adapts well to changing environments and priorities.
• Solid analytical abilities, especially with Excel; familiarity with data tools such as SQL is a plus but not mandatory.
• Organized, detail-oriented, and self-motivated. Project management experience is a bonus.
Unlock job insightsSalary match Number of applicants Skills match
Your application will include the following questions:
- Which of the following statements best describes your right to work in Malaysia?
Computer Software & Networking More than 10,000 employees
Founded in 2012, Lazada Group is the leading eCommerce platform in Southeast Asia. We are accelerating progress in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam through commerce and technology. With the largest logistics and payments networks in the region, Lazada is a part of our consumers’ daily lives in the region and we aim to serve 300 million shoppers by 2030. Since 2016, Lazada is the Southeast Asia flagship platform of the Alibaba Group powered by its cutting-edge technology infrastructure.
Founded in 2012, Lazada Group is the leading eCommerce platform in Southeast Asia. We are accelerating progress in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam through commerce and technology. With the largest logistics and payments networks in the region, Lazada is a part of our consumers’ daily lives in the region and we aim to serve 300 million shoppers by 2030. Since 2016, Lazada is the Southeast Asia flagship platform of the Alibaba Group powered by its cutting-edge technology infrastructure.
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#J-18808-LjbffrSenior Associate Consultant, Financial Planning, Data, and Analysis
Posted today
Job Viewed
Job Description
If you have a particular interest on how the pre-IPO journeys of listed companies evolve prior to their listing, we seek experienced FP&A team members to support the strategies and development of our clients through report generation and data interpretation, financial analysis, and mastery of data management to ensure accurate data for critical decision making.
We are seeking talents who are:
Positive in their thinking
Able to manage oneself, team members and clients under high pressure environment in a professional manner
Value the importance of being collaborative
Thrive and crave on problem solving
Invested in producing quality work
Your Role
As a Senior Associate Consultant, Financial Planning, Data, and Analysis, you will use your professional knowledge and experience with accounting and finance fundamentals, leading assignments, coordination with clients, and service delivery to optimize operational efficiency and client experience.
Reports to our senior executives leading the professional consulting services provided to the portfolio of IPO assignments that we advise
Critical skill sets include strong fundamentals developed from your prior training either in corporate finance / reporting accountants / external audit (of corporates)
The core features of this role would involve quantitative analysis and reporting, financial modeling and analysis, provide investment decision support and conduct business reviews providing performance insights, analyze and maintain the profitability level of business units / division / branch, cash management and treasury related functions
Your ability to work well with other professional and client team members in ensuring timely deliverables is crucial to job success
Key Responsibilities
Perform data analysis on output arising from periodic reporting cycles and management reporting data points
Support budget management and reporting processes
Monitor KPI performance of businesses and perform ad-hoc analysis
Analyze, control and communicate sales, projects, and margin
Maintain data accuracy, alignment and meaningfulness for commercial financial decision making and KPI reporting
Gather and consolidate operational sales data
Support analysis of costs and potential benefits of sales and marketing campaigns
Manage the reporting of weekly / monthly sales data, collaborate with commercial team to deliver sales forecast
Participate in budgeting process, providing financial data insights and observations
Support ad hoc projects within the business with the aim of constant improvement of efficiency of the reporting processes
Gain trust and respect with internal team members through sound analysis, allowing the organization to make well-informed commercial decisions
Qualifications Required
Bachelor's Degree in Accounting, Finance, or Business Economics or equivalent
Relevant professional qualification such as MIA, ACCA, CPA Australia, ICAEW, etc. (both fully qualified and semi qualified welcomed to apply)
Minimum 1 to 2 years’ finance experience, ideally within an FP&A team
Understanding of financial analysis and controlling techniques
Analytical skills
Strong attention to detail and willingness to learn
Superior Excel skills
Ability to build and maintain collaborative relationships
Good communication and coordination skills
Flexible approach to work and evolving organizational priorities
Prior experience with modern accounting technology such as QBO / Xero / NetSuite / SAGE300 / PowerBI / Tableau / StoreHub relevant to this role is an added advantage
Experience of working in professional assignments, in a professional Firm setting is an added advantage
Advantageous if you also possess one or few of the following:
Self-driven and possess inclination towards use of technology for professional services
Open to learning new technical knowledge
Strong oral and written communication skills, including presentation skills
Possess competent working knowledge with softwares and advanced MS Word, MS Excel
Possess complete / fully qualified accounting qualification
Additional Notes:
Being a position based with our consulting team, you would be working with our internal senior executives, while serving our portfolio of pre / post IPO clients. You shall be assigned to work from both our physical office (based out of KLCC / Pavilion KL area) and the clients’ office as the situation requires.
#J-18808-LjbffrSenior Associate Consultant, Financial Planning, Data, and Analysis
Posted 2 days ago
Job Viewed
Job Description
Able to manage oneself, team members and clients under high pressure environment in a professional manner
Value the importance of being collaborative
Thrive and crave on problem solving
Invested in producing quality work
Your Role As a Senior Associate Consultant, Financial Planning, Data, and Analysis, you will use your professional knowledge and experience with accounting and finance fundamentals, leading assignments, coordination with clients, and service delivery to optimize operational efficiency and client experience. Reports to our senior executives leading the professional consulting services provided to the portfolio of IPO assignments that we advise
Critical skill sets include strong fundamentals developed from your prior training either in corporate finance / reporting accountants / external audit (of corporates)
The core features of this role would involve quantitative analysis and reporting, financial modeling and analysis, provide investment decision support and conduct business reviews providing performance insights, analyze and maintain the profitability level of business units / division / branch, cash management and treasury related functions
Your ability to work well with other professional and client team members in ensuring timely deliverables is crucial to job success
Key Responsibilities Perform data analysis on output arising from periodic reporting cycles and management reporting data points
Support budget management and reporting processes
Monitor KPI performance of businesses and perform ad-hoc analysis
Analyze, control and communicate sales, projects, and margin
Maintain data accuracy, alignment and meaningfulness for commercial financial decision making and KPI reporting
Gather and consolidate operational sales data
Support analysis of costs and potential benefits of sales and marketing campaigns
Manage the reporting of weekly / monthly sales data, collaborate with commercial team to deliver sales forecast
Participate in budgeting process, providing financial data insights and observations
Support ad hoc projects within the business with the aim of constant improvement of efficiency of the reporting processes
Gain trust and respect with internal team members through sound analysis, allowing the organization to make well-informed commercial decisions
Qualifications Required Bachelor's Degree in Accounting, Finance, or Business Economics or equivalent
Relevant professional qualification such as MIA, ACCA, CPA Australia, ICAEW, etc. (both fully qualified and semi qualified welcomed to apply)
Minimum 1 to 2 years’ finance experience, ideally within an FP&A team
Understanding of financial analysis and controlling techniques
Analytical skills
Strong attention to detail and willingness to learn
Superior Excel skills
Ability to build and maintain collaborative relationships
Good communication and coordination skills
Flexible approach to work and evolving organizational priorities
Prior experience with modern accounting technology such as QBO / Xero / NetSuite / SAGE300 / PowerBI / Tableau / StoreHub relevant to this role is an added advantage
Experience of working in professional assignments, in a professional Firm setting is an added advantage
Advantageous if you also possess one or few of the following: Self-driven and possess inclination towards use of technology for professional services
Open to learning new technical knowledge
Strong oral and written communication skills, including presentation skills
Possess competent working knowledge with softwares and advanced MS Word, MS Excel
Possess complete / fully qualified accounting qualification
Additional Notes: Being a position based with our consulting team, you would be working with our internal senior executives, while serving our portfolio of pre / post IPO clients. You shall be assigned to work from both our physical office (based out of KLCC / Pavilion KL area) and the clients’ office as the situation requires.
#J-18808-Ljbffr
Senior Associate Consultant, Financial Planning, Data, and Analysis
Posted 2 days ago
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Job Description
ACCA Careers Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia Join or sign in to find your next job
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Senior Associate Consultant, Financial Planning, Data, and Analysis
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ACCA Careers Senior Associate Consultant, Financial Planning, Data, and Analysis
ACCA Careers Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Be among the first 25 applicants Join to apply for the
Senior Associate Consultant, Financial Planning, Data, and Analysis
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ACCA Careers If you have a particular interest on how the pre-IPO journeys of listed companies evolve prior to their listing, we seek experienced FP&A team members to support the strategies and development of our clients through report generation and data interpretation, financial analysis, and mastery of data management to ensure accurate data for critical decision making.
We Are Seeking Talents Who Are
Positive in their thinking Able to manage oneself, team members and clients under high pressure environment in a professional manner Value the importance of being collaborative Thrive and crave on problem solving Invested in producing quality work
Your Role
As a Senior Associate Consultant, Financial Planning, Data, and Analysis, you will use your professional knowledge and experience with accounting and finance fundamentals, leading assignments, coordination with clients, and service delivery to optimize operational efficiency and client experience.
Reports to our senior executives leading the professional consulting services provided to the portfolio of IPO assignments that we advise Critical skill sets include strong fundamentals developed from your prior training either in corporate finance / reporting accountants / external audit (of corporates) The core features of this role would involve quantitative analysis and reporting, financial modeling and analysis, provide investment decision support and conduct business reviews providing performance insights, analyze and maintain the profitability level of business units / division / branch, cash management and treasury related functions Your ability to work well with other professional and client team members in ensuring timely deliverables is crucial to job success
Key Responsibilities
Perform data analysis on output arising from periodic reporting cycles and management reporting data points Support budget management and reporting processes Monitor KPI performance of businesses and perform ad-hoc analysis Analyze, control and communicate sales, projects, and margin Maintain data accuracy, alignment and meaningfulness for commercial financial decision making and KPI reporting Gather and consolidate operational sales data Support analysis of costs and potential benefits of sales and marketing campaigns Manage the reporting of weekly / monthly sales data, collaborate with commercial team to deliver sales forecast Participate in budgeting process, providing financial data insights and observations Support ad hoc projects within the business with the aim of constant improvement of efficiency of the reporting processes Gain trust and respect with internal team members through sound analysis, allowing the organization to make well-informed commercial decisions
Qualifications Required
Bachelor's Degree in Accounting, Finance, or Business Economics or equivalent Relevant professional qualification such as MIA, ACCA, CPA Australia, ICAEW, etc. (both fully qualified and semi qualified welcomed to apply) Minimum 1 to 2 years’ finance experience, ideally within an FP&A team Understanding of financial analysis and controlling techniques Analytical skills Strong attention to detail and willingness to learn Superior Excel skills Ability to build and maintain collaborative relationships Good communication and coordination skills Flexible approach to work and evolving organizational priorities Prior experience with modern accounting technology such as QBO / Xero / NetSuite / SAGE300 / PowerBI / Tableau / StoreHub relevant to this role is an added advantage Experience of working in professional assignments, in a professional Firm setting is an added advantage
Advantageous if you also possess one or few of the following:
Self-driven and possess inclination towards use of technology for professional services Open to learning new technical knowledge Strong oral and written communication skills, including presentation skills Possess competent working knowledge with softwares and advanced MS Word, MS Excel Possess complete / fully qualified accounting qualification
Additional Notes
Being a position based with our consulting team, you would be working with our internal senior executives, while serving our portfolio of pre / post IPO clients. You shall be assigned to work from both our physical office (based out of KLCC / Pavilion KL area) and the clients’ office as the situation requires. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Contract Job function
Job function Finance and Sales Industries Accounting Referrals increase your chances of interviewing at ACCA Careers by 2x Sign in to set job alerts for “Senior Financial Planning Analyst” roles.
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Lead Data Scientist – Global Reporting & Analysis
Posted today
Job Viewed
Job Description
Huntsman Corporation is now looking for a dynamic individual as a Lead Data Scientist – Global Reporting & Analysis.
The Data Science Lead will collaborate with various business teams to apply suitable prescriptive and predictive models to solve complex problems, driving strategic decision-making. They will oversee the creation and implementation of advanced analytics models using technologies such as Python, R, and machine learning frameworks.
Additionally, they will mentor team members on data science best practices and promote collaboration and continuous learning within the Data Science community at Huntsman.
The ideal candidate will be based in Kuala Lumpur, Malaysia.
As a Lead Data Scientist – Global Reporting & Analysis you will:
Lead Data Science in FP&A: Oversee strategy reviews, best practice adoption, and identify gaps in current ML processes.
Advanced Modeling: Design, develop, and deploy predictive models and AI solutions to address business needs.
Team Leadership: Lead multiple Data Scientists and mentor team members on best practices.
AI Strategy: Drive strategy for AI applications and advanced analytics solutions.
Performance Evaluation: Evaluate and optimize data-driven products.
Project Management: Drive large cross-functional projects from ideation to implementation.
Collaboration: Work with engineers and other data scientists to integrate models into production systems.
Solution Design: Design and deploy data-driven solutions to improve business outcomes.
Continuous Learning: Stay current with advancements in data science and apply them to enhance capabilities.
Service Coordination: Coordinate with service providers and external resources for ML/AI solutions.
Community Leadership: Lead involvement in the Data Science Community of Practice.
Alignment: Ensure data projects align with organizational objectives.
Data Collection: Collect, cleanse, and ensure the quality and integrity of complex data sources for analytical modeling.
What skills and experiences are we looking for?
· Bachelor’s degree in a data science related field.
· Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field is preferred.
· Minimum 5-7 years of experience in data science.
· Experience developing machine learning models into full production.
· Strong expertise in ETL processes, data integration, and transformation.
· Proficiency in programming and statistical tools such as Python, R, SQL, SPSS, IBM CPLEX
· Experience with cloud platforms and big data technologies – Databricks, Azure, Spark, SAP (R4) and/or SAP (4HANA), IBM Planning Analytics
· Strong experience with data visualization tools (e.g., Tableau, Power BI).
· Experience working with business teams and within general business processes
· Experience in Manufacturing Industry
· Understanding of common business financial terms and metrics
· Experience with agile methodologies and project management tools.
· Familiarity with data governance and compliance standards.
· Excellent problem-solving skills and the ability to work with complex datasets.
· Strong communication skills, including the ability to present findings to non-technical stakeholders, facilitate discussions, deliver training, and manage time effectively.
· High initiative and creativity, with the ability to work independently and think strategically and technically.
· Leadership and mentoring experience, with a demonstrated ability to guide and develop junior team members and develop collaborative teamwork
· Detail-oriented with a commitment to delivering high-quality solutions.
· Strong understanding of data science concepts.
What can we offer?
Huntsman offers unsurpassed opportunities to build a successful future. We are a global specialty chemical company with locations in 25 countries around the world, employing over 6,000 associates. Our diverse portfolio creates a range of career fields including manufacturing, research and development, technical services, sales and marketing, customer service – and the list goes on.
Here, you can make an impact and make a difference. Come join us.
Huntsman is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunities (EEO) to all qualified applicants for employment, without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identification, sexual orientation and/or expression or any other characteristic protected by law in every location in which we have facilities national or local.
Please refer to for Company’s Data Privacy and Protection information.
All unsolicited resumes presented by recruitment agencies are treated as pro bono information or service.
Huntsman is aware of a scam involving fraudulent job offers. Huntsman does not make job offers until after a candidate has submitted a job application and has participated in a face-to-face interview. Please be advised that emails from Huntsman always end in “@huntsman.com” and that any job offer that requires payment or requires you to deposit a check is likely a scam. If you have questions about any open positions at Huntsman, please visit our Careers website at
#J-18808-LjbffrMachine Learning Engineer
Posted today
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Job Description
JOB DESCRIPTION
- Collaborate with Cross-Functional Teams: Work closely with various operation teams to develop, deploy and maintain machine learning models and computer vision algorithms aimed at enhancing manufacturing efficiency, productivity and improve decision making.
- Design and implementation: Design and implement machine learning models and computer vision systems for quality control, defect detection, and process optimization within manufacturing environment.
- Application Development: Develop user-friendly applications to facilitate the deployment and utilization of machine learning models and computer visions systems in production settings.
- Testing and Validation: Conduct rigorous testing and validation of deployed models to ensure their accuracy, reliability, and effectiveness in real-world scenarios.
- Documentation: Create and maintain comprehensive documentation for machine learning models, computer vision systems and deployment processes to ensure transparency and reproducibility.
- Project Updates: Participate in regular team meetings and provide updates on project progress, share insights, and collaborate on problem-solving strategies.
- Ensure on-time delivery of the tasks and projects.
- Meeting and exceeding management and peers' expectation on the department services quality.
- Degree in Computer Science, Data Science, Electrical Engineering (or a related field)
- Strong programming skills in Python, R or other relevant languages.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with computer vision libraries like OpenCV.
- Knowledge of application development and deployment tools.
- Understanding of data manipulation tools like Pandas and NumPy.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and as part of a team.
- Strong communication skills to effectively convey technical concepts.
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Machine Learning Engineer
Posted today
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Job Description
-Defining and executing ML experiments to test how machine learning can enhance the products user experience.-Analysing and interpreting ML experiment results to determine business impact and user benefits.-Translating complex ML solutions into intuitive, user-friendly features that drive engagement and retention.-Working with UX and marketing teams to communicate ML-driven features effectively to users.-Prioritizing ML product roadmap based on user feedback, business goals, and technical feasibility.-Ensuring compliance and ethical use of user data while maximising personalization and insights.
A successful Data Scientist should have:
- A degree in Data Science, Computer Science, Statistics, or a related field.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with machine learning frameworks and tools.
- Ability to evaluate ML models, interpret results, and make data-driven decisions.
- Remote Working
- Competitive salary of MYR 144000-18000 annually.
- Performance-based bonus and additional benefits.
- A collaborative and innovative company culture.
- Access to cutting-edge tools and technologies in the Technology & Telecoms industry.
If you are a motivated Data Scientist looking to make an impact, we encourage you to apply and take the next step in your career!
Machine Learning Engineer
Posted today
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Job Description
About Snappymob Malaysia
Snappymob builds top-tier custom iOS, Android, and web applications that deliver seamless user experiences and scalability. From startups to enterprises, we turn ideas into functional, user-friendly solutions. Check us out at snappymob.com !
Key Responsibilities
Design, prototype, and implement ML models for financial applications, including predictive analytics, risk modeling, and trading algorithms.
Identify, collect, clean, and preprocess structured and unstructured financial data from multiple sources, including web data extraction.
Build and optimize training pipelines for experimentation and production deployment. Work with engineers to deploy and scale ML models in real-world environments.
Fine-tune and optimize foundational AI models, including LLMs, RAG, and agent-based applications to enhance decision-making and automation.
Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to translate business needs into effective ML solutions.
Define the data science roadmap and establish best practices for model development, versioning, and deployment. Stay updated on industry trends and emerging technologies.
What would you need?
- Ability to translate complex financial and business challenges into ML-driven solutions and communicate findings effectively.
- Solid understanding of financial markets, algorithmic trading, and risk management strategies.
- Experience in classical ML models, inference systems, and fine-tuning generative AI models.
- Strong skills in data scraping, extraction, transformation, and pipeline development for large-scale datasets.
- Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.
- Strong coding ability with experience in Git, CI/CD, Docker, and Kubernetes.
- Familiarity with MLflow, Kubeflow, Airflow, and cloud-based ML services for model management and deployment.
- Shown a track record of being able to execute with minimal high-level guidance from C-levels.
Nice to have:
Experience with Spark, Dask, Snowflake, and BigQuery for large-scale data handling.
Knowledge of Graph Neural Networks (GNNs) and time-series forecasting for financial applications.
Experience with LLMs, RAG, LangChain, LlamaIndex, and AI-driven automation.
Familiarity with AWS, GCP, or Azure for scalable ML model deployment.
Opportunity to shape a new business: Ever wonder what it takes to launch a start-up? Heres your chance.
Employer-Sponsored Work Visa: Backing your relocation with full visa sponsorship.
Innovative Projects: Work on exciting projects that push your skills further.
Accessible Location: Conveniently located near the LRT for easy commuting.
Career Growth: Mentorship, and continuous learning.
Flexible Work: Enjoy a better work-life balance with flexible options: 2 days WFH, 3 days in-office, and flexible working hours.
#J-18808-LjbffrMachine Learning Engineer
Posted today
Job Viewed
Job Description
Ability to translate complex financial and business challenges into ML-driven solutions and communicate findings effectively. Solid understanding of financial markets, algorithmic trading, and risk management strategies. Experience in classical ML models, inference systems, and fine-tuning generative AI models. Strong skills in data scraping, extraction, transformation, and pipeline development for large-scale datasets. Proficiency in Python and ML frameworks like
PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas. Strong coding ability with experience in
Git, CI/CD, Docker, and Kubernetes. Familiarity with
MLflow, Kubeflow, Airflow, and cloud-based ML services
for model management and deployment. Shown a track record of being able to execute with minimal high-level guidance from C-levels. Nice to have: Experience with
Spark, Dask, Snowflake, and BigQuery
for large-scale data handling. Knowledge of
Graph Neural Networks (GNNs) and time-series forecasting for financial applications. Experience with
LLMs, RAG, LangChain, LlamaIndex, and AI-driven automation. Familiarity with
AWS, GCP, or Azure for scalable ML model deployment. Opportunity to shape a new business: Ever wonder what it takes to launch a start-up? Heres your chance. Employer-Sponsored Work Visa:
Backing your relocation with full visa sponsorship. Innovative Projects:
Work on exciting projects that push your skills further. Accessible Location:
Conveniently located near the LRT for easy commuting. Career Growth:
Mentorship, and continuous learning. Flexible Work:
Enjoy a better work-life balance with flexible options: 2 days WFH, 3 days in-office, and flexible working hours.
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