Senior Software Engineer - Data & ML | WFH | Day Shift | Weekends Off

Company: Emapta

Location: Metro Manila (Remote)

Salary: Day 1 HMO

Type: Full-time

Remote: Yes

Posted: 2026-09-23

About this role

Engineer Smarter Learning for Australia's Education Technology Sector

Education technology matters most when it helps teachers act with confidence. In the Senior Software Engineer - Data & ML role, you'll develop scalable services and ML infrastructure that translate learning data into practical support. Your work will reach schools across Australia, with strong technical collaboration, meaningful ownership, and a rewarding long-term global career at Emapta for top 1% talent.

Snapshot

  • Employment Type: Full-time
  • Work Setup: Permanent Work From Home
  • Shift: Day Shift, 10:00 AM-7:00 PM Melbourne Time, Weekends Off

Benefits

  • Day 1 HMO coverage with free dependent
  • Competitive Salary Package
  • Day Shift schedule
  • Fixed weekends off
  • Permanent WFH arrangement
  • Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.)
  • Unlimited upskilling through Emapta Academy courses (Want to know more? Visit: **https://emapta.com/training-calendar/**)
  • Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!
  • Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)
  • Unlimited opportunities for employee referral incentives across the organization
  • Standard government and Emapta benefits
  • Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)
  • Fun engagement activities for employees
  • Mentorship and exposure to global leaders and teams
  • Career growth opportunities
  • Diverse and supportive work environment

Qualifications

  • **3-5 years of relevant software engineering experience**
  • **Strong Python engineering skills and experience with data and ML libraries such as Pandas, PySpark, Scikit-learn, and MLflow**
  • **Backend development expertise with FastAPI, Django, Flask**, or an equivalent framework, including API design and d...

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