Senior AI/ML Engineer — Models, Pipelines & Production

Tech Aalto Pte ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Tech Aalto Pte ltd is seeking an experienced AI/ML Engineer to design, develop, and deploy advanced AI models that solve complex business problems. You will collaborate with cross-functional teams to translate requirements into scalable technical solutions and stay at the forefront of AI advancements.

The role emphasizes model optimization, data pipelines, and mentoring junior teammates while deploying production-ready AI systems across cloud platforms.

Qualifications

• Bachelor's or master's degree in CS/AI/ML or related field.
• Proficiency in Python or Java; ML libraries as TensorFlow or PyTorch.
• Strong knowledge of ML algorithms and data science techniques.
• Experience with NLP, CV, and big data technologies.
• Excellent communication and ability to explain complex concepts.
• Ability to work in cross-functional teams and mentor juniors.

Responsibilities

• Design and implement AI models to solve business problems.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Research and stay updated on AI advancements.
• Optimize models for performance, scalability, and accuracy.
• Develop AI pipelines and data preprocessing workflows.
• Deploy models to production and monitor performance.
• Provide technical guidance to junior team members.

Skills

Python

Machine Learning

Data Analysis

Deep Learning

Communication

Problem Solving

Team Collaboration

NLP

Computer Vision

Education

Bachelor’s or Master’s degree in Computer Science, AI, ML, or related field

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

Pandas

NumPy

Matplotlib

OpenCV

Hadoop

Spark

AWS

Google Cloud

Azure

NLTK

SpaCy

GPT-3

YOLO

Job description

Tech Aalto Pte ltd is seeking an experienced AI/ML Engineer to design, develop, and deploy advanced AI models that solve complex business problems. You will collaborate with cross-functional teams to translate requirements into scalable technical solutions and stay at the forefront of AI advancements.

The role emphasizes model optimization, data pipelines, and mentoring junior teammates while deploying production-ready AI systems across cloud platforms.