AI & Machine Learning · Kuala Lumpur, Malaysia
Hire a Machine Learning Engineer in Kuala Lumpur
I design, train, and deploy custom machine learning models tailored to extract valuable insights from your unique datasets. From computer vision with OpenCV to fine-tuning language models, I deliver practical ML solutions.
Kuala Lumpur is a rising Southeast Asian digital engine with strong fintech adoption and government-backed startup initiatives. With minimal timezone variance from India, I provide seamless real-time collaboration and scalable application development. With minimal timezone difference between IST and MYT, collaboration is nearly real-time. I deliver structured milestones with daily async updates and weekly demos.
Machine LearningPythonOpenCVFine-tuningPyTorch
Ready to hire
Proof — shipped systems
- FluxDialFounder & Lead Architect — An agent-first voice-calling CRM for phone-first businesses in India and Nigeria — built because wrapping US voice APIs does not survive local telecaller math.
- MandiPeTechnical Co-Founder — Web dashboard for suppliers and delivery ops, paired with a customer Android app on Google Play — built as technical co-founder, not as a throwaway marketing site.
- RonronLead Backend & AI Engineer — A predictive real estate CRM where automations, live connections, and Postgres-backed workflows do the heavy lifting — led from the backend and AI side for an external product team.
- Divine Care IndustriesLead Engineer — Web & Android — An industrial B2B dashboard CRM with realtime catalogue indexing and order management — plus a native companion Android app on Google Play — shipped for an external industrial brand.
FAQ
- Do you work with Kuala Lumpur-based companies?
- Yes. I work remotely and have delivered for clients in Malaysia and internationally. Whether you are a startup or an established business in Kuala Lumpur, the engagement process is the same — email a brief, fit call, then scoped milestones.
- What does a typical machine learning engineer engagement look like?
- It starts with a fit call to understand scope, then a written build plan with milestones. You see working software weekly — not slideshows. Most engagements land between 2-12 weeks depending on complexity. Technologies I typically use include Machine Learning, Python, OpenCV, Fine-tuning.
- What are your rates for machine learning engineer work?
- Rates depend on scope, complexity, and timeline. I price by project milestone (not hourly) so you know exactly what you are paying for. Email mailtanish.me@gmail.com with your brief for a scoped estimate.
- Can you show examples of your machine learning engineer work?
- Yes. Check the case studies on this page — each links to a detailed breakdown of the architecture, challenges, and outcomes. I have shipped 2+ production systems in this domain.