Senior Machine Learning Engineer

Snappymob Sdn. Bhd. (Reg. No. 201201040611 / 1025089-W); Kuala Lumpur; Hybrid; MYR 180,000 - 300,000; Full time

Benefits offered by this job

Accessible Location near LRT

Career Growth & Mentorship

Hybrid work arrangements

Job summary

Snappymob Malaysia is seeking a Senior Machine Learning Engineer to design, build and deploy scalable ML solutions. You will collaborate with software engineers, product managers and data teams to develop production-ready AI applications.

We value hands-on technologists who solve real-world problems using modern AI, with strong Python and ML frameworks experience, plus cloud and MLOps know-how. Hybrid work and mentorship are offered.

Qualifications

• Bachelor’s degree in CS/Data Science/AI or related field.
• Minimum 3 years in Machine Learning Engineering or related roles.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks: TensorFlow, PyTorch, or Scikit-learn.
• Experience building and deploying ML models in production environments.
• Good understanding of supervised and unsupervised learning.
• 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.

Responsibilities

• Design, develop, train, and deploy ML 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.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

REST APIs

MLOps

Cloud platforms

CI/CD

Data preprocessing

Model evaluation

Education

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

Tools

Docker

CI/CD pipelines

ML deployment

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

About Snappymob Malaysia
Snappymob (Reg. No. 201201040611 / 1025089-W) is a boutique technical consultancy specializing in fintech and financial services across Malaysia and APAC. We craft cutting-edge web and mobile solutions, tackling the complex challenges 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.