Artificial Intelligence Engineer

AI Engineer

Must have 3-5 years of hands-on experience on Data Engineering, Cloud, DevOps and AI/Model Engineering across the following technology stack o Advanced SQL o PySpark o Cloud services o Airflow or an equivalent cloud native orchestration tool o Kubernetes or an equivalent cloud native container service o Microservices o DevOps o Mlflow an equivalent cloud native model deployment and monitoring service o Basics of Generative AI --Large Language Models --Prompt Engineering --LangChain/LangGrapho Basics of Responsible AI · Knowledge of design principles and fundamentals, · Understanding of performance optimization/automations, · Basic understanding of project domain, · Good understanding of AI/ML deployment and operations · Awareness of latest technologies and trends · Logical thinking and problem-solving skills along with an ability to collaborate · Excellent interpersonal and analytical skills A day in the life of an Infoscion · As part of the Infosys delivery team, your primary role would be to design and implement AI solutions in an enterprise landscape · You will analyze the requirements and specifications to understand the deployment needs for AI solutions and design and implement the deployment strategy. · You would be a key contributor to deploy and manage AI applications at enterprise scale and if you think you fit right in to help our clients navigate their next in their AI transformation journey.