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Job Title: AI 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 twoAI Engineer - ML Opsto 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.

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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.

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.