Machine Learning Engineer (hybrid/remote)

Kuala Lumpur, M14, MY, Malaysia

Job Description

We are looking for a

Machine Learning Engineer

to join our Data Science and Machine Learning team. You will design, build, and operationalize ML pipelines at scale, working on cutting-edge AI/ML solutions including GenAI for marketing analytics.

Key Responsibilities:



Develop and deploy scalable ML models and pipelines. Build automated workflows for data preparation, training, and monitoring. Collaborate with Data Scientists, Engineers, and Product teams to deliver ML solutions in production. Leverage GenAI tools to enhance product capabilities.

What We're Looking For:



5+ years

software development experience. Strong in

Python

(Java/C++ a plus). Experience with

MLOps tools

(Airflow, Kubeflow, MLflow). Hands-on with

big data frameworks

(Spark, Databricks, EMR). Familiarity with

cloud platforms

(AWS or GCP). Knowledge of

ML libraries

(PyTorch, TensorFlow, scikit-learn). Exposure to

GenAI

(OpenAI API, Bedrock, Vertex AI).
Job Type: Permanent

Pay: RM12,000.00 - RM16,000.00 per month

Application Question(s):

If you're an expats, are you willing to relocate to Malaysia? This role requires to work in US time (4pm to 1am MYT), are you good with it?
Experience:

Software development: 5 years (Required) MLOps tools (Airflow, Kubeflow, MLflow): 3 years (Required) ML libraries (PyTorch, TensorFlow, scikit-learn): 3 years (Required)
Work Location: Hybrid remote in Kuala Lumpur

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Job Detail

  • Job Id
    JD1397201
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Kuala Lumpur, M14, MY, Malaysia
  • Education
    Not mentioned