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Greetings from ALIQAN Technologies!! Hiring a Data Scientist for one of our clients' MNC Job Title: Data Scientist Experience: 6-10 years Contract duration: 6 months + extendable Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection, preprocessing, estimation,and Architecture creation 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, and 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 time series forecasting, regression Model, Classification Model - 2. Python, R, Data analysis - 3. Large-scale data handling with Pandas, Numpy, and Matplotlib - 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, Kubernetes - 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 adaptable to travel, coming to office is mandate twice in a week - Experience in time series forecasting, regression Model, Classification Model: - Experience Python, R, Data analysis: - Large-scale data handling with Pandas, Numpy, and Matplotlib: - Version Control: Git or any other: - ML Framework: Hands-on exp in Tensorflow, Pytorch, Scikit-Learn, Keras: - Model Selection, evaluation, Deployment, Data collection, and preprocessing, Feature engineering: - Good knowledge on Cloud platform: Greetings from ALIQAN Technologies!! Hiring a Data Scientist for one of our clients' MNC Job Title: Data Scientist Experience: 6-10 years Contract duration: 6 months + extendable Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection, preprocessing, estimation,and Architecture creation 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, and 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 time series forecasting, regression Model, Classification Model - 2. Python, R, Data analysis - 3. Large-scale data handling with Pandas, Numpy, and Matplotlib - 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, Kubernetes - 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 adaptable to travel, coming to office is mandate twice in a week - Experience in time series forecasting, regression Model, Classification Model: - Experience Python, R, Data analysis: - Large-scale data handling with Pandas, Numpy, and Matplotlib: - Version Control: Git or any other:
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