AI/ML Engineer

Actlabs

Join Actlabs to build and maintain APIs for model inference services and develop a comprehensive MLOps stack for data-driven solutions.

Last checked on July 22, 2026. We may earn a commission when you click through.

This role offers work on AI applications, making it great for tech enthusiasts. However, the lack of disclosed salary may deter some candidates.

✓ Innovative work environment ✓ Opportunity to lead AI initiatives ✓ Hands-on experience with MLOps

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AI/ML Engineer

Actlabs

Updated 1 month ago

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Hamilton

This role offers work on AI applications, making it great for tech enthusiasts. However, the lack of disclosed salary may deter some candidates.

About this role

Join Actlabs to build and maintain APIs for model inference services and develop a comprehensive MLOps stack for data-driven solutions.

About the Company

Actlabs is a technology company focused on integrating AI into business intelligence and reporting platforms.

Key Highlights

✓ Develop low-latency APIs for model inference
✓ Implement a full MLOps stack including CI/CD pipelines
✓ Enhance internal reporting with AI features
✓ Work in a dynamic and innovative environment

💡 Honest Take: This position is ideal for those seeking to work at the intersection of AI and operational efficiency, though it may be demanding.

Pros

✓ Innovative work environment
✓ Opportunity to lead AI initiatives
✓ Hands-on experience with MLOps

Cons

✗ No salary range provided
✗ On-site position may limit flexibility
✗ Expectations may be high for performance

Best For: Ideal for tech-savvy individuals looking to contribute to AI-driven projects in a collaborative setting.

Watch Out: Candidates should be prepared for a demanding workload and the need for continuous learning in a fast-paced field.

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What Customers Say

Current employees appreciate the innovative projects but note the high expectations and workload.

Expert Review

Actlabs seeks an AI/ML Engineer to spearhead their model inference services, which are crucial for the company's data-driven decisions. The role emphasizes building and maintaining APIs that ensure high availability and low latency.

The full MLOps stack development is a key component, including model versioning, automated retraining, and CI/CD pipelines. This means candidates should be adept at managing complex workflows and integrating AI features into existing systems.

While the position promises significant growth opportunities and a chance to work on innovative projects, the absence of a salary range may raise concerns for potential applicants. Transparency regarding compensation is essential in attracting top talent.

Overall, this role is perfect for individuals passionate about AI and eager to make tangible impacts in a technology-focused company. Those not ready for a fast-paced, high-demand environment might find it challenging. For more details, visit Actlabs' listing.