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Machine Learning Specialist
Machine Learning SpecialistAmanah Saham Nasional Berhad • Kuala Lumpur, Kuala Lumpur, Malaysia
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Machine Learning Specialist

Machine Learning Specialist

Amanah Saham Nasional Berhad • Kuala Lumpur, Kuala Lumpur, Malaysia
2 hari lalu
Penerangan pekerjaan

Company Description

Amanah Saham Nasional Berhad (ASNB) is a wholly owned subsidiary of Permodalan Nasional Berhad (PNB), established in 1979 to manage funds launched by PNB. With over 40 years of experience, ASNB manages 16 funds with a total value of RM277.86 billion as of December 2021. We are committed to innovative investment solutions, strong governance and high service standards. Join us to help shape the next generation of data driven investment management.

Role Description

This is a full time, hybrid role for a Machine Learning Specialist based in the Federal Territory of Kuala Lumpur, Malaysia. You will design, build and deploy machine learning solutions that support ASNB’s core business, from investment and risk to operations and member engagement. The role covers the full ML lifecycle, from problem framing, data preparation and feature engineering to model development, validation, deployment and monitoring in production.

You will

  • Develop and optimize robust ML and deep learning models on large and complex datasets
  • Work with data engineers and business teams to integrate models into production systems
  • Design and run experiments, A / B tests and backtests to measure business impact
  • Translate findings into clear recommendations for senior stakeholders
  • Ensure scalability, reliability and performance of ML solutions in a regulated environment

Qualifications

Must have

  • 5 years with strong hands on background in Machine Learning and Deep Learning, with a track record of delivering models into production
  • Advanced programming skills in Python, including experience with ML and data libraries such as NumPy, Pandas, Scikit learn and at least one deep learning framework (TensorFlow or PyTorch)
  • Solid foundation in Statistics and probability, including hypothesis testing, experiment design and model evaluation
  • Experience designing, implementing and evaluating end to end ML pipelines, from data ingestion and feature engineering to deployment and monitoring
  • Strong grasp of algorithms and data structures, and how to use them to solve real world business problems efficiently
  • Experience working with large datasets using SQL and modern data platforms
  • Excellent analytical and problem solving skills with high attention to detail
  • Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Data Science, Engineering or a closely related field
  • Good to have

  • Experience with Azure cloud services for data and ML, for example Azure Machine Learning, Azure Databricks, Azure Functions or related tools
  • Experience with MLOps practices such as experiment tracking, model versioning, CI or CD, monitoring and alerting
  • Familiarity with financial services, asset management or banking use cases, for example risk modelling, forecasting, customer analytics, fraud or AML
  • Experience working in regulated environments where model governance, documentation and explainability are important
  • #J-18808-Ljbffr

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