AI/ML Engineer

We are seeking an experienced MLOps / GenAI Engineer with strong expertise in building and deploying production-grade ML pipelines, cloud-native solutions, and MLOps frameworks. The role requires a deep understanding of the ML lifecycle, CI/CD automation, containerization, and orchestration to deliver scalable, secure, and high-performing AI/ML solutions in enterprise environments.

• Design, build, and deploy production-grade ML pipelines using modern frameworks and MLOps tools.

• Develop and manage CI/CD pipelines for ML model deployment and monitoring.

• Implement containerization (Docker) and orchestration (Kubernetes) for scalable model serving.

• Collaborate with data scientists, data engineers, and architects to productionize ML models .

• Ensure compliance with best practices for cloud-based ML deployments across AWS, Azure, or GCP.

• Integrate third-party services and APIs for enhanced solution capabilities.

• Contribute to architecture design while driving low-level implementation.

• Work closely with cross-functional teams across geographies to deliver end-to-end AI/ML solutions.