AI/ML Engineer (DLP)

EVERSAFE ACADEMY PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading training provider in Singapore is seeking a Senior Machine Learning Engineer to design and develop scalable machine learning models. Your role will involve collaborating with data scientists to build efficient data pipelines and implementing distributed systems for large-scale projects. The ideal candidate has at least 10 years of experience in AI technologies, with strong skills in Python or Java, and proficiency in machine learning frameworks like TensorFlow and PyTorch. This opportunity promotes innovation while working with complex data in a collaborative environment.

Qualifications

• 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.

Responsibilities

• Design, develop, and deploy scalable machine learning models and systems.
• Collaborate with data scientists and engineers for data preprocessing.
• Implement monitoring and evaluation systems for model performance.

Skills

Machine Learning

Python

Java

C++

TensorFlow

PyTorch

Hadoop

Apache Spark

SQL

NoSQL

Data Analysis

Education

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

Tools

TensorFlow

PyTorch

Apache Spark

Hadoop

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