Machine Learning Engineer

iScale Solutions

Join iScale Solutions as a Machine Learning Engineer to optimize ML model serving for low-latency inference and implement AWS-native ML infrastructure.

Last checked on June 13, 2026. We may earn a commission when you click through.

The opportunity at iScale Solutions is promising for experienced ML engineers looking to work in a dynamic environment.

✓ Focus on cutting-edge ML technologies. ✓ Opportunity for professional growth. ✓ Collaborative work environment.

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Machine Learning Engineer

iScale Solutions

Updated 2 months ago

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Philippines

The opportunity at iScale Solutions is promising for experienced ML engineers looking to work in a dynamic environment.

About this role

Join iScale Solutions as a Machine Learning Engineer to optimize ML model serving for low-latency inference and implement AWS-native ML infrastructure.

About the Company

iScale Solutions is a tech company specializing in providing data-driven solutions and services.

Key Highlights

✓ Optimize ML models for sub-200ms P95 inference.
✓ Implement AWS-native ML infrastructure like SageMaker.
✓ Support ML-optimized rule weight calibration.

💡 Honest Take: This position is ideal for those with strong AWS and ML skills, but may be challenging for entry-level candidates.

Pros

✓ Focus on cutting-edge ML technologies.
✓ Opportunity for professional growth.
✓ Collaborative work environment.

Cons

✗ Requires advanced knowledge of AWS and machine learning.
✗ Not suitable for beginners in ML.
✗ On-site position may limit some applicants.

Best For: Ideal for technology enthusiasts with a passion for machine learning and cloud infrastructure.

Watch Out: Candidates should be prepared for a demanding workload and high expectations in technical proficiency.

Apply for this position →

You'll be redirected to ph.talent.com

Expert Review

The role of Machine Learning Engineer at iScale Solutions focuses on optimizing machine learning models for low-latency inference, targeting a P95 of sub-200ms. This position requires expertise in AWS, particularly in tools like SageMaker for deploying ML infrastructure. Applicants should be comfortable implementing A/B testing and monitoring for model performance.

In addition to technical responsibilities, the role involves supporting ML-optimized rule weight calibration, which complexity that may not suit everyone. The company promotes a collaborative environment, n appealing choice for those who thrive in team settings.

However, this is not a role for beginners. The advanced skill set required may deter less experienced candidates, and those looking for a more relaxed pace might find it challenging. Overall, if you have a solid background in machine learning and AWS, this role offers a great opportunity for growth and contribution to innovative projects.

For more details, visit their posting on Talent.com.

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