Machine Learning Engineer (North / IT Industry)

Borr Drilling; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading company in the drilling sector is seeking a skilled machine learning engineer to design and deploy ML models. The role involves training and optimizing models while collaborating with teams to ensure seamless integration. Candidates should possess a degree in Computer Science or related fields and have substantial experience in ML development including algorithms and tools like TensorFlow and PyTorch.

Qualifications

• Open to Apprenticeship experience.
• 2+ years of experience in machine learning model development.
• Proficiency in Python and ML frameworks.

Responsibilities

• Design, build, and deploy machine learning models.
• Collaborate with teams to integrate models into production systems.
• Monitor and improve model performance.

Skills

Machine Learning Algorithms

Model Development

Data Analysis

Python

Education

Bachelor’s/Master’s in Computer Science, Data Science

Tools

TensorFlow

PyTorch

Scikit-Learn

AWS

Azure

GCP

Spark

Job description

Responsibilities:

• Design, build, and deploy machine learning models to solve business challenges.
• Collaborate with teams to integrate models into production systems.
• Train, fine-tune, and optimize models for performance.
• Deploy models with APIs and ensure seamless integration.
• Monitor, refine, and improve model performance.
• Conduct data analysis and present insights.
• Stay updated with AI advancements and recommend improvements.

Requirements:

• Bachelor’s/Master’s in Computer Science, Data Science, or related field. Open to Apprenticeship experience.
• 2+ years of experience in machine learning model development.
• Strong knowledge of ML algorithms and frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience with Large Language Models & Generative AI is a plus.
• Proficiency in Python and ML frameworks.
• Familiarity with cloud ML tools (AWS, Azure, GCP) and distributed computing (Spark) is a plus.

(EA Reg No: 20C0312)

Interested candidates may whatsapp your resume to 6421 4952 for a quicker response.

Otherwise, please email a copy of your detailed resume to [e-mail] for immediate processing.

Only shortlisted candidates will be notified.