Sr./Lead Data Scientist

Job description

**Roles and Responsibilities :** - Lead a team of data scientists to design, develop, and deploy machine learning models using deep learning techniques such as XGBoost, Decision Trees, and Random Forest. - Collaborate with cross-functional teams to integrate machine learning solutions into business applications on Microsoft Azure, GCP, or AWS platforms. - Develop predictive analytics models for forecasting sales growth, customer behavior, and market trends using generative AI algorithms like Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). - Design scalable data pipelines for large-scale datasets using SQL queries and Python scripts. **Job Requirements :** - 5-12 years of experience in machine learning engineering with expertise in deep learning frameworks like TensorFlow or PyTorch. - Strong understanding of natural language processing concepts including text classification, sentiment analysis, and topic modeling. - Experience with cloud-based platforms like Microsoft Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS). - Proficiency in programming languages such as Python with knowledge of libraries like scikit-learn, pandas, NumPy.