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About the role
Role Summary: Looking for one data scientist engineer with Solid experience in AI/ML, Data collection preprocessing, estimation, Architecture creation Responsibility: - Model Development: Design and implement ML models to tackle complex business challenges. - Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. - Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods. - Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. - Deployment: Deploy ML models in production, monitor performance for reliability. - Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. - Research: Stay updated on ML/AI advancements, contribute to internal knowledge. - Documentation: Maintain comprehensive documentation for all ML models and processes. Qualification - Bachelor's or masters in computer science, Machine Learning, Data Science, or a related field and must be experience of 6-10 years. Desirable Skills: - Must Have - 1. Experience in timeseries forecasting, regression Model, Classification Model - 2. Python , R, Data analysis - 3. Large size data handling with Panda , Numpy and Matplot Lib - 4. Version Control: Git or any other - 5. ML Framework: Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras - 6. Good knowledge on Cloud platform and ( AWS/ AZure/ GCP), Docker kubernetis - 7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineering - Estimation - Good to Have - Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. - Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. - BFSI and banking domain Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week .
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