Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields., Proficiency in programming languages such as Python, R, or Java., Hands-on experience with AI frameworks like TensorFlow, PyTorch, or scikit-learn., Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics..

Key responsibilities:

Develop, train, and deploy machine learning and deep learning models.

Design scalable data pipelines and preprocess datasets for training and inference.

Collaborate with cross-functional teams to integrate AI models into existing systems.

Research and implement state-of-the-art algorithms in areas like NLP, computer vision, and generative AI.

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 will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions.

Key Responsibilities:

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

What We’re Looking For:

Technical Skills:

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

Soft Skills:

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

Requirements

Preferred Qualifications:

Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
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.

Getsubstance.co Pte. Ltd. | EA License No: 24C2398

Required profile