Must have: Strong understanding of AI/ML concepts and techniques. Proficiency in programming languages such as Python, JavaScipt, with hands on experience in AI/ML libraries and frameworks. Experience with AI/ML model lifecycle activities, like data preprocessing, feature engineering, deployment, data visualization, etc. Good understanding on model deployment, design, architecture, AIOps, MLOps, etc. Good to have experience with Generative AI and Large Language Models. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights. Good familiarity with one or more cloud platforms / hyper-scalers (e.g., GCP, Azure, AWS, NVIDIA) and experience in deploying AI/ML models in cloud environments. Experience of architecting AI/ML systems as well as integrating AI/ML features into business applications and solutions. Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies. Excellent communication and collaboration skills to work effectively in cross-functional teams. Should be able to communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs). Strong organizational, leadership and time management skills, with the ability to prioritize and manage multiple projects simultaneously. 10+ years of relevant experience.
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