Data Scientist & AI Engineer

As a Data Scientist Engineer at our company, you will be responsible for the following: - **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. Qualifications required for this role include: - Bachelor's or masters in computer science, Machine Learning, Data Science, or a related field. - 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 of Cloud platforms (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. - Experience in BFSI and banking domain. Please note that the base location for this position is Noida, with flexibility to travel, and coming to the office is mandatory twice a week.,