
Chief AI Integration Specialist
2 weeks ago
Key Highlights:
- Deploy and integrate AI models into production environments.
- Build APIs, SDKs, and microservices for seamless AI model consumption.
- Maintain high availability, scalability, and security of AI services.
As a seasoned AI Integration Engineer, you will play a vital role in streamlining AI adoption across our organization. You will collaborate closely with data scientists, software engineers, DevOps teams, and product teams to ensure maximum impact from our AI-driven solutions.
Our ideal candidate possesses strong proficiency in Python, experience integrating ML models, and hands-on knowledge of Docker, Kubernetes, and container orchestration. If you have a passion for MLOps practices, model lifecycle management, and cloud platforms (AWS, GCP, Azure), we encourage you to apply.
Required Skills and 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, including 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.
Benefits:
We offer a dynamic work environment, opportunities for growth and professional development, and a competitive salary package.
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