Job description

Job description Strong understanding of AI/ML concepts, algorithms Decision Trees, Random Forest, Deep learning, etc.), and techniques. Understanding of model suitability for different problems. Good hands-on experience in AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) along with proficiency in a programming language. Experience with end-to-end model creation lifecycle activities, including data preprocessing, feature engineering, model evaluation, deployment and data visualization. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights. Familiarity with at least one cloud platform / hyper-scaler (e.g., GCP, Azure, AWS, NVIDIA). Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies. Good to have exposure to Generative AI and familiarity with recent Foundation Models. Excellent communication and collaboration skills to work effectively in cross-functional teams. Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously. Experience of 6 to 8 years of relevant experience. Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills deep learningVersion controlGITGCPTime managementAnalyticalCloudAgiledata visualizationManagement

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