Artificial Intelligence (AI) Engineers

Substance; Singapore; Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is on the lookout for a talented AI Engineer to join their dynamic team. This role offers the chance to work on groundbreaking projects that utilize cutting-edge technologies to tackle real-world challenges. You will be responsible for developing and deploying advanced machine learning and deep learning models, collaborating with cross-functional teams, and implementing state-of-the-art algorithms in areas such as natural language processing and computer vision. If you have a passion for AI and want to make a significant impact, this opportunity is perfect for you.

Benefits

Flexible remote working arrangements

Exposure to international markets

Innovative environment

Qualifications

• Proven experience in developing and deploying AI models.
• Strong understanding of data preprocessing and feature engineering.

Responsibilities

• Develop and deploy machine learning and deep learning models.
• Collaborate with teams to integrate AI models into systems.

Skills

Python

R

Java

TensorFlow

PyTorch

scikit-learn

Natural Language Processing (NLP)

Computer Vision

Reinforcement Learning

Generative AI

Data Preprocessing

Feature Engineering

Model Evaluation Metrics

Mathematics and Statistics

Education

Bachelor's degree in Computer Science

Master’s degree in Artificial Intelligence

Industry certifications in AI/ML

Tools

AWS

Google Cloud

Azure

Job description

We’re seeking a highly skilled AI Engineer. Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role provides opportunities to work with cutting-edge technologies and deliver impactful AI solutions.

Key Responsibilities:

1. Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges.
2. Design scalable data pipelines and preprocess datasets for training and inference.
3. Collaborate with cross-functional teams to integrate AI models into existing systems.
4. Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
5. Conduct error analysis and improve models to address bias, fairness, and explainability.
6. Document technical processes and results, ensuring knowledge sharing within teams.

What We’re Looking For:

Technical Skills:

1. Proficiency in programming languages like Python, R, or Java.
2. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
3. Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics.
4. Expertise in at least one domain:
   • Natural Language Processing (NLP)
   • Computer Vision
   • Reinforcement Learning
   • Generative AI (e.g., GPT, Stable Diffusion)
5. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
6. Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization).

Soft Skills:

1. Ability to explain complex AI concepts to non-technical stakeholders.
2. Strong problem-solving and critical-thinking skills.
3. Passion for continuous learning and staying updated with the latest AI trends.

Requirements:

Preferred Qualifications:

1. Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
2. Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
3. Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.

Benefits:

• Exposure to international markets and the opportunity to work with a diverse team.
• Flexible remote working arrangements.
• Innovative environment.

At Substance, we’re all about action, not just talk. If your profile aligns with what we need, you’ll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we’ll be ready to make it happen.

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