AI/ML Engineer (DLP)

EVERSAFE ACADEMY PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading educational institution in Singapore is seeking a Machine Learning Engineer to design, develop, and deploy scalable machine learning models. Requires a Bachelor's or Master's in a related field and strong programming skills. Ideal candidates should have over 10 years of relevant experience and expertise in data integration with AI technology, making collaborative contributions to data workflow and infrastructures. The position offers opportunities to work on distributed systems and large-scale machine learning initiatives.

Qualifications

• 10+ years of experience in data integration with AI technology.
• 5+ years of experience using various AI tools with specific techniques.

Responsibilities

• Design and deploy scalable machine learning models and systems.
• Collaborate to build and maintain data pipelines.
• Develop infrastructures for machine learning workflows.
• Implement distributed systems for large-scale machine learning.
• Create monitoring systems for model performance.

Skills

Programming in Python

Programming in Java

Programming in C++

Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)

Distributed systems (Apache Spark, Hadoop, Kafka)

Data storage technologies (SQL, NoSQL)

Data processing (Apache Beam)

Analytical and problem-solving skills

Education

Bachelor’s or Master’s degree in computer science, engineering, or a related field

Job description

Responsibilities

• Design, develop, and deploy scalable machine learning models and systems that support business objectives.
• Collaborate with data scientists and data engineers to collect and preprocess data, and build and maintain data pipelines.
• Develop and maintain data infrastructures that support machine learning workflows, including data storage, feature engineering, and model training.
• Design and implement distributed systems that support large-scale machine learning.
• Develop and maintain machine learning workflows that are efficient, reproducible, and scalable.
• Implement monitoring and evaluation systems that track model performance and identify potential issues.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or a related field.
• Strong programming skills in one or more languages such as Python, Java, or C++.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed systems such as Apache Spark, Hadoop, or Kafka.
• Familiarity with data storage and processing technologies such as SQL, NoSQL, and Apache Beam.
• Strong analytical and problem-solving skills, with the ability to work with complex and unstructured data.
• Strong communication skills and ability to work collaboratively with cross-functional teams.

Experience

• At least 10 years of experience in integrating the data with the architecture provided through seamless integration AI technology
• At least 5 years of experience in using the various AI tools with good exposure to the usage of the tools with specific techniques in place