Senior AI Engineer
Location: Remote
Compensation: Salary
Reviewed: Mon, Aug 24, 2026
This job expires in: 28 days
Job Summary
Seeking a full-time Senior AI Engineer, this remote position will design, build, and deploy machine learning systems to enhance core product capabilities, focusing on model optimization and reliability in production AI services.
Key responsibilities
- Design, develop, and fine-tune complex ML models, primarily deploying on Google Cloud Platform
- Own end-to-end model deployment on GCP, ensuring performance, scalability, and stability
- Build and maintain MLOps pipelines for automated training, testing, and CI/CD processes
Required qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
- 5+ years of experience in machine learning engineering with a proven track record of deploying ML models in production
- Strong hands-on experience with Google Cloud Platform and its ML tools, particularly Vertex AI
- Proficiency in Python and C#, with deep knowledge of core ML frameworks like TensorFlow and PyTorch
- Experience with MLOps tools and containerization technologies such as Docker and Kubernetes
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