Machine Learning Engineer

  • Sector: 信息技术
  • Contact: Ally Ng
  • Client: Monroe Consulting Group
  • Location: Malaysia
  • Salary: Negotiable
  • Expiry Date: 16 April 2025
  • Job Ref: BBBH475380_1736987006
  • Contact Email: ally_ng@monroeconsulting.com.my

Executive recruitment company Monroe Consulting Group's Technology Division is partnered with a tech organisation that provides data science solutions to their clients. Our client is seeking a skilled and motivated Machine Learning Engineer to join thier team. The successful candidate will have a robust background in machine learning, software engineering, and MLOps practices, with a proven track record in designing, deploying, and optimizing machine learning models in production environments.

Job Responsibilities:

  • Design, build, and deploy machine learning models for various business applications, ensuring scalability and efficiency in production environments
  • Collaborate closely with data scientists, data engineers, and cross-functional teams to understand business needs, gather data, and translate requirements into machine learning solutions
  • Develop and maintain robust pipelines for data processing, model training, and deployment, utilizing workflow tools such as Apache Airflow
  • Implement and optimize MLOps practices for streamlined deployment, monitoring, and retraining of models
  • Experiment with new algorithms and methodologies, applying best practices to improve model accuracy, efficiency, and reliability.
  • Stay current on industry trends, tools, and techniques in machine learning and MLOps.
  • Present technical results and recommendations clearly to stakeholders, translating complex findings into actionable insights

Job Requirements:

  • Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field
  • Strong programming skills, with experience in Python and machine learning libraries/frameworks such as scikit-learn, TensorFlow, or PyTorch
  • Proficiency in MLOps practices, including model deployment, versioning, monitoring, and CI/CD pipelines
  • Experience deploying models on premise & cloud environments
  • Strong understanding of data processing frameworks (e.g., Spark, Hadoop) and experience handling large datasets
  • Excellent problem-solving skills and ability to work both independently and within a team
  • Strong communication skills, with experience presenting technical results to non-technical stakeholders