
AI Model Integration Specialist
1 day ago
AI Model Integration Specialist
Overview
Our company is seeking a skilled and detail-oriented AI model integration specialist to join our team. In this role, you will be responsible for deploying and integrating AI models into production environments, ensuring their scalability, reliability, and security.
Key Responsibilities:
- Deploy and integrate AI/ML models: Collaborate with AI teams to deploy machine learning models into applications and services.
- Build APIs and microservices: Design and implement APIs, SDKs, and microservices that enable seamless AI model consumption.
- Maintain high availability, scalability, and security of AI services in production.
- Monitor and maintain models: Implement CI/CD pipelines, observability tools, and monitoring systems to track and improve model performance.
- Automate workflows: Build automated pipelines for model retraining, versioning, and rollback.
- Optimize performance: Implement caching strategies, model compression, and other techniques to improve inference speed and system efficiency.
- Work with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
Required Skills:
- Strong proficiency in Python with experience using FastAPI, Flask, or Django.
- Experience integrating ML models with tools like TensorFlow Serving, TorchServe, ONNX, or custom model wrappers.
- Hands-on experience with Docker, Kubernetes, and container orchestration.
- Understanding of CI/CD pipelines, MLOps practices, and model lifecycle management.
- Excellent English communication skills – ability to work with cross-functional teams and present technical solutions clearly.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3-6 years of experience in software engineering, backend development, or MLOps.
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