
AI Model Deployment Expert
15 hours ago
As a highly skilled AI Integration Specialist, you will be responsible for deploying and integrating AI/ML models into production environments. Your role will involve collaborating with data scientists, software engineers, DevOps, and product teams to streamline AI adoption and ensure maximum impact from our AI-driven solutions.
- Main Responsibilities:
- Deploy and integrate AI models into applications and services.
- Design and implement APIs, SDKs, and microservices that enable seamless AI model consumption.
- Maintain high availability, scalability, and security of AI services in production.
- Implement CI/CD pipelines, observability tools, and monitoring systems to track and improve model performance.
- Build automated pipelines for model retraining, versioning, and rollback.
- Optimize performance by implementing caching strategies, model compression, and other techniques.
- Work with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
We are seeking a highly skilled and detail-oriented individual with the following qualifications:
- 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.
We offer a range of benefits to support your professional growth and well-being:
- Excellent English communication skills – ability to work with cross-functional teams and present technical solutions clearly.
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