Data Scientist- AI/ML (Noida)

Role Summary: Looking for one data scientist engineer with Robust experience in AI/ML, Data collection preprocessing, estimation, Architecture creation - Exp- 6 to 10 Years - Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week - 6 Months Contract+ Extendable. If Interested can share your resume at Responsibility : 1. Model Development: Design and implement ML models to tackle complex business challenges. 2. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. 3. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods. 4. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. 5. Deployment: Deploy ML models in production, monitor performance for reliability. 6. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. 7. Research: Stay updated on ML/AI advancements, contribute to internal knowledge. 8. 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 Role Summary: Looking for one data scientist engineer with Robust experience in AI/ML, Data collection preprocessing, estimation, Architecture creation - Exp- 6 to 10 Years - Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week - 6 Months Contract+ Extendable. If Interested can share your resume at Responsibility : 1. Model Development: Design and implement ML models to tackle complex business challenges. 2. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. 3. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods. 4. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. 5. Deployment: Deploy ML models in production, monitor performance for reliability. 6. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. 7. Research: Stay updated on ML/AI advancements, contribute to internal knowledge. 8. 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