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This job is for a Senior Machine Learning Engineer at Snappymob, where you'll design and deploy AI solutions in fintech. You might like this job because you'll work on cutting-edge projects with a diverse team and enjoy flexible hours for a great work-life balance.
RM 8.5K - RM 11K
KL Eco City, Kuala Lumpur
Full-Time
Job Description
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.
Job Requirements
Right to Work Requirements
- The company is open to sponsoring a working visa for qualified candidates (subject to T&Cs)
- Candidates with an existing right to work in the country are preferred
- Local citizens of this country
- Permanent residents (PR) of this country
- Candidates who already have a work permit for this country
Working Arrangement
- On Site
Skills
Company Benefits
Snacks and Drinks
We keep our pantry well stocked. Coffee, tea, soft drinks, healthy snacks, and whatever else our team likes. Tell us what you'd like.
Health Insurance
Our team’s well being is vital to us. We provide a high-tier hospitalization plan, as well as reimbursement for GP visits.
Gear
Macs, iPhones, Androids, and other fun gadgets. Nice big monitors. We give our team what they need to be productive.
Flexible Hours and Locations
Work from home or work from the office. We focus on getting things done, not on making sure you clock in.
Learning Stipend
Books, courses, conferences, and other opportunities for learning. If you want to challenge yourself, we want to help you!
Transportation
We provide allowances for public transportation, so you don't have to think about it.
Additional Info
Company Activity
Last active - few hours ago
Experience Level
4 - 7 Years of Experience
Career Level
Senior Executive
Job Specialisation
Company Profile
