Senior Machine Learning Engineer

About Snappymob Malaysia Snappymob is a boutique technical consultancy specializing in fintech and financial services in Malaysia and APAC. We craft cutting-edge web and mobile solutions that push boundaries, tackling the impossible challenges that others won't even attempt.

Our vibrant team of 100+ innovators from 18 nationalities brings together world-class engineers, QA specialists, and designers. We're obsessed with our craft, thrive on continuous learning, and collaborate to turn ambitious ideas into reality.

About the role

We are looking for a Senior Machine Learning Engineer with 3+ years of experience to design, build, and deploy scalable machine learning solutions. You will work closely with cross-functional teams including software engineers, product managers, and data teams to develop intelligent systems and production-ready AI/ML applications.

This role is ideal for someone who is technically strong, hands-on, and passionate about solving real-world problems using machine learning and modern AI technologies.

Key Responsibilities

• Design, develop, train, and deploy machine learning models for production environments

• Build scalable ML pipelines and data processing workflows

• Collaborate with engineering and product teams to integrate ML solutions into applications

• Optimize model performance, accuracy, and scalability

• Work on data preprocessing, feature engineering, and model evaluation

• Develop APIs and backend services for ML-powered applications

• Monitor, maintain, and improve deployed ML models

• Conduct experimentation and research on new ML/AI approaches

• Document technical solutions and best practices

What would you need?

• Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, or related field

• Minimum 3 years of experience in Machine Learning Engineering or related roles

• Strong programming skills in Python

• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

• Experience building and deploying ML models in production environments

• Good understanding of supervised and unsupervised learning techniques

• Experience with data handling, preprocessing, and model evaluation

• Familiarity with REST APIs and backend development

• Experience with cloud platforms such as AWS, Azure, or GCP

• Familiarity with Docker, CI/CD pipelines, and MLOps practices is an advantage

• Strong problem-solving and communication skills

Why Join Us?

• Accessible Location: Conveniently located near the LRT for easy commuting.

• Career Growth: Thrive with mentorship, technical leadership opportunities, and continuous learning resources.

• Flexible Work Options: Achieve work-life balance with hybrid arrangements and flexible hours.

• Innovative Projects: Contribute to impactful, cutting-edge fintech solutions that challenge and expand your skills.