Data Scientist & AI Engineer

As a Data Scientist Engineer, you will be responsible for designing and implementing ML models to address complex business challenges. You will clean, preprocess, and analyze large datasets to extract meaningful insights and model features. Your role will involve training and fine-tuning ML models using techniques such as deep learning and ensemble methods. You will evaluate model performance, optimize for accuracy, efficiency, and scalability, and deploy ML models in production while monitoring their performance for reliability. Collaboration with data scientists, engineers, and stakeholders to integrate ML solutions, staying updated on ML/AI advancements, contributing to internal knowledge, and maintaining comprehensive documentation for all ML models and processes are key aspects of your responsibilities. Qualifications: - Bachelor's or master's degree in computer science, Machine Learning, Data Science, or a related field - 6-10 years of experience Desirable Skills: Must Have: - Experience in timeseries forecasting, regression Model, Classification Model - Proficiency in Python, R, and Data analysis - Handling large datasets with Panda, Numpy, and Matplot Lib - Version Control using Git or any other tool - Hands-on experience with ML Frameworks such as Tensorflow, Pytorch, Scikit-Learn, Keras - Knowledge of Cloud platforms (AWS/Azure/GCP) and Docker Kubernetes - Expertise in Model Selection, Evaluation, Deployment, Data collection and preprocessing, Feature engineering, and 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 - Experience in BFSI and banking domain Base Location: Noida, with flexibility for travel. Attendance at the office twice a week is mandatory.,