AI Integration Engineer

As an AI Integration Engineer at our company in Ahmedabad, your role will involve deploying and integrating AI/ML models into production environments to ensure scalability, reliability, and security. You will collaborate with various teams to streamline AI adoption and maximize the impact of our AI-driven solutions. Key Responsibilities: - Collaborate with AI/ML teams to deploy machine learning models into applications and services. - Design and implement APIs, SDKs, and microservices to facilitate 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 enhance model performance. - Develop automated pipelines for model retraining, versioning, and rollback. - Apply caching strategies, model compression, and other techniques to optimize inference speed and system efficiency. - Work with cloud platforms (AWS, GCP, Azure) and support hybrid setups (cloud + on-prem). - Partner with DevOps, software engineers, and product teams to smoothly integrate AI capabilities into products and services. Required Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - 3 - 6 years of experience in software engineering, backend development, or MLOps. - 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 to collaborate with cross-functional teams and present technical solutions clearly.,