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Job Title: Platform Engineer - ML Ops
Location: Kuala Lumpur, Malaysia
Type: Permanent - Hybrid working, averaging 1 day per week in the office
Due to growth, we are hiring for two Platform Engineer's - ML Ops to join us permanently on a hybrid working basis from our Kuala Lumpur. With this role, you will build, deploy and operate machine learning solutions on the organisation’s Databricks platform.
In this role you will report to the Head of Data Platform and Services, the role partners with data science, data engineering and product teams to turn analytical prototypes into production-grade pipelines and services that are reliable, secure and scalable.
This is a hands-on engineering role focused on software quality, automation and operational excellence. The ML Engineer implements CI/CD for ML, testing, reproducibility, model monitoring and safe deployment patterns, while working within governance, security and data protection requirements for production AI services.
Key Responsibilities
- Design, build, and maintain end-to-end machine learning pipelines on Databricks, covering data preparation, feature engineering, model training, evaluation, and deployment.
- Develop production-grade Python and Spark solutions that adhere to software engineering best practices, secure coding standards, and code review processes.
- Implement and manage MLOps capabilities, including MLflow, model versioning, lifecycle management, reproducibility, and deployment governance.
- Build and maintain CI/CD pipelines for machine learning solutions, enabling automated testing, packaging, deployment, and environment management.
- Monitor production ML models and data pipelines, proactively addressing performance, data quality, model drift, latency, and operational issues.
- Collaborate with data engineering, data science, security, and governance teams to deliver reliable, scalable, and compliant AI/ML solutions.
- Apply security, risk, and compliance controls, supporting audits and maintaining documentation, traceability, and operational standards for AI services.
- Drive continuous improvement by optimising Databricks workloads, developing reusable ML engineering components, and sharing best practices across teams.
To be successful in the role, you will have
- Proven experience delivering ML/Analytic solutions, working across Data disciplines.
- Hands-on experience operating Databricks or comparable lakehouse platforms, including runtime upgrades, workspace administration, access controls.
- Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning, monitoring, reproducibility)
- Experience working with security, risk, and governance teams to evidence controls for data and AI services.
- Hands-on experience with core ML engineering tooling and practices (e.g., Python packaging, Git, CI/CD, automated testing, and containerisation/serving patterns where applicable).
- Strong communication and collaboration skills; able to work effectively with data scientists, data engineers, product and risk stakeholders to deliver production outcomes.
Grow your career and expand your skills and knowledge. At BSI, we offer opportunities to work across industries and across the globe. You’ll benefit from the different perspectives and experiences of your international colleagues, as well as ongoing training and development.
We offer flexible working, as well as 16-days annual leave, paid sick leave, bank holidays, group hospitalisation and surgical insurance, life insurance, transport allowance (dependent on role), internet and/or phone allowance, paid maternity leave, paid paternity leave, paid marriage leave, paid bereavement leave, learning and development opportunities, and a wide range of flexible benefits that you can tailor to suit your lifestyle.
*Please note: BSI are unable to provide visa sponsorship for this vacancy
Together, we are building an organisation that is ready to meet the challenges ahead. Grow your career as you help us shape what comes next.
We exist to have a positive impact. Our people influence international thinking and action on important issues. Our 86,000 customers are based in 193 countries across the globe.
Now we’re taking on society’s biggest challenges. We’re developing standards and guidelines that will help our customers get to net zero, and we’re defining the way new technologies such as AI impact all our lives.
We’re focused on our future – and we’re looking for people who want to grow with us as we take on the challenges of tomorrow. At BSI, you’ll find a workplace where everyone can flourish and thrive, where innovation is encouraged and where learning is part of your everyday. You’ll contribute to work that shapes industries and enhances lives – and you’ll take pride in what you do.
We’re looking for passionate people who want to make a difference in a purpose-led organisation. If that sounds like you, apply now. Together, we can help create a better society and a more sustainable world.
D&I Policy
BSI is committed to ensuring the diversity of our workforce reflects that of our clients and the communities in which we operate. Our goal is to create a sense of belonging for all employees by providing opportunities to develop, grow, and engage with our global organization all while having fun doing great work. BSI is a community where everyone can thrive.
If you require any reasonable accommodations to be made on account of a disability or impairment throughout out our recruiting process, please inform your Talent Acquisition Partner.
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About Us
BSI is a business improvement and standards company and for over a century BSI has been recognized for having a positive impact on organizations and society, building trust and enhancing lives.
Today BSI partners with more than 77,500 clients in 195 countries and engages with a 15,000 strong global community of experts, industry and consumer groups, organizations and governments.
Utilizing its extensive expertise in key industry sectors - including automotive, aerospace, built environment, food and retail, and healthcare - BSI delivers on its purpose by helping its clients fulfil theirs.
Living by our core values of Client-Centricity, Agility, and Collaboration, BSI provides organizations with the confidence to grow by partnering with them to tackle society’s critical issues – from climate change to building trust in digital transformation and everything in between - to accelerate progress towards a better society and a sustainable world.
BSI is an Equal Opportunity Employer dedicated to fostering a diverse and inclusive workplace.
Skills Required
- Proven experience delivering ML/Analytic solutions across data disciplines.
- Hands-on experience operating Databricks or comparable lakehouse platforms, including runtime upgrades, workspace administration, access controls.
- Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning, monitoring, reproducibility).
- Experience working with security, risk, and governance teams to evidence controls for data and AI services.
- Hands-on experience with core ML engineering tooling and practices (Python packaging, Git, CI/CD, automated testing, containerisation/serving patterns where applicable).
- Strong communication and collaboration skills to work with data scientists, data engineers, product and risk stakeholders.
BSI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BSI and has not been reviewed or approved by BSI.
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Flexible Benefits — Flexible benefits are positioned as part of the MyReward approach, allowing tailoring based on local eligibility and individual needs. Core elements like life assurance, income protection, and EAP access are framed as consistent pillars even as specifics vary by country.
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Leave & Time Off Breadth — Leave offerings are described as generous in certain markets, including annual leave starting around 27 days where that is standard and, in some U.S. postings, about four weeks of PTO plus a set holiday calendar. Additional time-off practices like occasional year-end office closure are also described as part of the overall package in some teams.
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Wellbeing & Lifestyle Benefits — Well-being support is presented as visible at the corporate level, including EAP access and expanded programs such as menopause support and mental-health first aid. Flexible work under “Smart Working” is repeatedly positioned as a work–life balance and inclusion lever that complements the total rewards package.
BSI Insights
What We Do
BSI is your business improvement partner. We have shaped best practice for over 100 years, partnering with organizations to accelerate progress and create impact for a fairer society and sustainable world







