Senior AI Engineer

enablesGROUP

Join enablesGROUP as a Senior AI Engineer to enhance AI literacy and develop robust ML pipelines in a hybrid work environment.

Last checked on September 21, 2026. We may earn a commission when you click through.

✓ Engaging work environment ✓ Opportunities for professional development ✓ Focus on innovative technology

Senior AI Engineer

enablesGROUP

Updated 6 days ago

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Pasig Hybrid

This position is ideal for seasoned AI professionals looking for a hybrid role that emphasizes collaboration and knowledge sharing. However, the absence of salary information may deter some experienced candidates.

About this role

Join enablesGROUP as a Senior AI Engineer to enhance AI literacy and develop robust ML pipelines in a hybrid work environment.

About the Company

enablesGROUP specializes in technology solutions and innovation, focusing on AI and machine learning advancements.

Key Highlights

✓ Hybrid work model offering flexibility
✓ Focus on internal knowledge sharing and training
✓ Involvement in building robust ML pipelines
✓ Opportunity to enhance AI literacy across the organization

💡 Honest Take: While the role promises engaging tasks, the lack of disclosed salary can be a red flag for potential applicants. It's crucial to ensure that the compensation aligns with industry standards before committing.

Pros

✓ Engaging work environment
✓ Opportunities for professional development
✓ Focus on innovative technology

Cons

✗ Salary details not disclosed
✗ Hybrid model may not suit everyone
✗ Potentially high expectations for knowledge sharing

Best For: AI professionals in the Philippines looking to enhance their skills while contributing to a company's growth.

Watch Out: The lack of salary transparency might lead to uncertainties during negotiations later on.

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You'll be redirected to ph.talent.com

Expert Review

Our editorial team found the Senior AI Engineer role at enablesGROUP to be a promising opportunity for those with extensive experience in AI and ML. The focus on internal knowledge sharing is as it fosters a collaborative environment. However, applicants should be cautious due to the absence of disclosed salary information, making it difficult to assess the role's overall value.

The hybrid work model allows for a balance between in-office and remote work, which can be beneficial for many professionals. Yet, it’s essential to ensure that this flexibility aligns with personal work preferences. the emphasis on building ML pipelines means that candidates should be prepared for a hands-on approach to development and implementation.

while the role appears attractive for seasoned engineers, potential applicants should weigh the benefits against the uncertainty around compensation. If salary is a significant consideration, it may be worth seeking clarification before applying.