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MLOps Engineer

Kuala Lumpur Permanent MYR120,000 - MYR180,000 per year View Job Description
To facilitate the transition of data science use cases into production, create Data and ETL pipelines to support real-time data processing
  • Be a part of a pioneer team with new and exciting technologies
  • A flexible working arrangement with a purpose driven team environment to learn

About Our Client

Our client is a leading Malaysian Bank embarking on its Digitalization Journey. Be a part of this journey and pave the future for Malaysian Banking

Job Description

  • Productionalise analytical pipeline and data science pipeline
  • Own and monitor objective key results (OKRs) related to hyper-personalization efforts, such as time-to-production, MVP deliver per quarter.
  • Collaborate with cross-functional teams to align hyper-personalization initiatives with overall business objectives and marketing strategies.
  • Stay updated on industry trends, emerging technologies, and best practices in hyper-personalization to ensure the organization remains at the forefront of innovation.
  • Assisting the Business Analytics and Data Science squad in transitioning their use cases to production, including liaising with the BAU team and transferring pertinent knowledge to facilitate seamless integration.
  • Advocating for self-service analytics capabilities by encouraging the utilization of advanced data visualization tools and establishing a comprehensive knowledge repository for reusable data assets.

The Successful Applicant

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
  • More than 5 years of experience in data engineering or data science roles, preferably within the banking or financial industry.
  • Strong background in AI/ML model development, feature engineering, and model deployment, with a track record of implementing machine learning solutions in real-world scenarios.
  • Proficiency in cloud technologies, such as AWS, Azure, or GCP, with hands-on experience in building cloud-based data solutions and leveraging real-time analytics capabilities.
  • Expertise in data engineering concepts, including data pipelines, ETL processes, and data integration frameworks.
  • Familiarity with advanced data visualization tools like OAS, Power BI or similar platforms.
  • Solid understanding of data governance, data quality, and data security principles.
  • Programming skills in languages like Python, SQL, or Java, with experience in working with large datasets and distributed computing frameworks (e.g., Spark).

What's on Offer

Be a part of a pioneer team with new and exciting technologies

Test and challenge your technical skills in a fast-paced team

A flexible working arrangement with a purpose driven team environment to learn

Contact
J-Shan Loke
Quote job ref
JN-052024-6428440
Phone number
6018 357 1848

Job summary

Function
IT
Specialisation
IT Data Analysis
What is your area of specialisation?
Financial Services
Location
Kuala Lumpur
Contract Type
Permanent
Consultant name
J-Shan Loke
Consultant contact
6018 357 1848
Job Reference
JN-052024-6428440

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.