
AI Integration Specialist
3 days ago
We are seeking a skilled AI integration expert to deploy and integrate AI/ML models into production environments, ensuring their scalability, reliability, and security.
Key Responsibilities:
- Deploy and Integrate AI Models: Collaborate with AI/ML 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.
- Ensure Reliability: Maintain high availability, scalability, and security of AI services in production.
- Monitor & 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.
- Cloud & Hybrid Infrastructure: Work with AWS, GCP, or Azure environments and support hybrid setups (cloud + on-prem).
Required Skills:
- 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.
- 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.
- Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
- Excellent English communication skills – ability to work with cross-functional teams and present technical solutions clearly.
This is an exciting opportunity to leverage your expertise in AI integration and contribute to the success of our organization.
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