Jobs → Engineering → Senior AIML Engineer

About the Role We are looking for a skilled Senior AI/ML Engineer with hands-on experience in machine learning, Generative AI, cloud infrastructure, and MLOps to build, deploy, and scale production-ready AI solutions. Key Responsibilities • Build, deploy, and scale production-ready AI solutions • Work with machine learning, Generative AI, and cloud infrastructure • Implement MLOps practices for model deployment Requirements • Strong experience with Python and PyTorch • Expertise in AI and Machine Learning • Knowledge of Transformer Architecture • Experience with Agentic AI and ReAct Architectures • Familiarity with Retrieval-Augmented Generation (RAG) • Proficiency with Google Cloud Platform (GCP) • Experience with Docker and Containerisation • Understanding of Cloud Databases • Experience with MLOps and Model Deployment • Knowledge of KServe and Vertex AI Endpoints • Familiarity with Feature Stores and Model Registries • Experience with CI/CD Pipelines and Model Monitoring • Understanding of Data and Model Drift Detection • Experience with Cost-Efficient Autoscaling and GPU Scheduling • Knowledge of Canary and Shadow Deployments • Experience with A/B Testing