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Jobs or company...

Senior MLOps Engineer

  • Full Time, onsite
  • Michael Page International (Malaysia) Sdn Bhd
  • Kuala Lumpur Engineering - Software (Information & Communication Technology) Full time $120k - $180k p.a. + Bonus + Other benefits, Malaysia
Salary undisclosed

Apply on

JobStreet
Original
Simplified

To facilitate the transition of data science use cases into production, create Data and ETL pipelines to support real-time data processing

Client Details

Our client is at the forefront on digitalizing Malaysian Banking, they are a well-established local bank that has been leading the industry for over 60 years

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

Profile

  • 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).

Job Offer

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

A well remunerated position with strong growth potential

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

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact J-Shan Loke on .
Agensi Pekerjaan Michael Page International (Malaysia) Sdn Bhd | Registration No.914741-W.

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