Job
Description
Looking for immediate joiners for a Data Scientist -Hyderabad Location-Permanent postion-Hybrid Model Role & responsibilities: 6-8 years of professional experience as a Machine Learning Engineer or a similar role, with a focus on NLP and chatbot development. Strong understanding of machine learning algorithms, statistical modeling, and predictive analytics. Develop and implement advanced statistical and machine learning models to solve complex problems Proficiency in programming languages such as Python and libraries like scikit-learn, TensorFlow, or PyTorch. Preferred candidate profile : Mentor junior data scientists, providing guidance in chatbot development, data science, computer vision, NLP, and Generative AI techniques. Design, develop, and deploy machine learning models for data science tasks like sentiment analysis, intent recognition, and chatbot development, improving customer interactions and business operations. Build and maintain sophisticated chatbot systems using cutting-edge NLP frameworks, ensuring accurate, efficient, and scalable conversational interactions with users. Implement machine learning techniques for dialogue management, conversation flow, and response generation in chatbots, enhancing natural and dynamic interactions. Leverage Generative AI models to enable chatbots and systems to reason, understand context, and make intelligent, human-like decisions across text, audio, and visual inputs. Develop advanced NLP models and data science algorithms for chatbots to extract insights, sentiment, and entities, personalizing responses based on user interactions. Apply computer vision techniques to improve chatbot capabilities, such as incorporating image recognition or visual data analysis within chatbot conversations. Conduct data pre-processing, feature engineering, and data augmentation to improve the performance and robustness of chatbot systems, data science models, and AI-driven applications. Stay current with advancements in data science, NLP, computer vision, machine learning, and Generative AI to ensure the integration of the latest techniques into chatbot solutions. Collaborate with data engineers to design and optimize data pipelines for processing large-scale data from text, images, and video, enabling efficient chatbot performance. Use Generative AI to create synthetic data for training chatbot systems, enhancing data science workflows, and improving the chatbots ability to handle diverse conversational scenarios. Communicate complex technical concepts clearly to both technical and non-technical stakeholders, ensuring alignment across teams to develop effective, customer-focused solutions.
