DTICI_AI Engineer_T9

# Data Scientist / Senior Data Scientist ## Company Overview [Company information not specified.] ## Job Summary We are seeking a **Data Scientist/Senior Data Scientist** for our Advanced Analytics and Big Data team. This role focuses on generating insights for data-driven decision-making in product development using systematic data analysis methods. The ideal candidate will identify suitable problem statements and develop sustainable solutions while contributing to an international and diverse environment. ## Responsibilities - **Artificial Intelligence & Machine Learning**: Develop AI applications and machine learning models including cognitive AI applications and chatbots. - **Full Stack Development**: Engage in end-to-end development for AI conversation voice chatbots, NLP, NLU, and various analytic solutions. - **Statistical Data Modelling**: Conduct data modelling to extract insights for competitive advantage while leveraging big data tools and platforms. - **Data Management**: Optimize data sourcing, integration, and performance of database queries, ensuring data cleanliness and transformation. - **Business Understanding**: Manage projects effectively while collaborating across functions to meet business objectives. - **Generative AI Development**: Design, develop, and deploy generative AI models, utilizing NLP techniques and collaborating with cross-functional teams. ## Qualifications - **Education**: B.Tech/M.Tech in Quantitative Areas (CSE, Electrical, Electronics & Communication, Maths & Computing, Statistics, Economics, BioTech, BioStat, Clinical Engineering, Data Science, or Machine Learning) from a top-rated university. - **Experience**: 5-10 years of demonstrated experience in applied AI, machine learning, and deep learning. - **Technical Skills**: - Strong proficiency in Python and relevant programming frameworks (Tensor Flow, Keras, Azure ML, PyTorch, etc.). - Expertise in full stack development with REST APIs. - Familiarization with AI disciplines, such as NLP, machine learning, and statistical analysis. - Experience in big data tools and knowledge of SQL, Oracle, R, PySpark, Databricks, and ADX. ## Preferred Skills - Experience in generative AI. - Knowledge of cloud platforms, particularly Azure, for deploying AI applications. - Familiarity with ANN, CNN, RNN, and hands-on experience with a broad variety of projects across different business functions. ## Experience - A minimum of 5 years and up to 10 years of solid experience in Data Science, particularly in applied AI and deep learning projects. ## Environment The position will work within a multicultural team setting, promoting a collaborative and agile work environment focused on technology-driven insights. ## Salary [Salary information not specified.] ## Growth Opportunities [Opportunities for growth not specified.] ## Benefits [Benefits information not specified.]