Data Science Practitioner

Project Role : Data Science Practitioner
Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Must have skills : Machine Learning
Good to have skills : Generative AI
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Scientist, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency, and enhancing user experiences. Roles & Responsibilities • Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems. • Conduct thorough experimentation, iterative testing, and evaluation of ML models to improve performance, accuracy, and scalability. • Extract actionable insights from data through advanced analytics, ensuring alignment with business objectives and strategy. • Partner closely with Data Engineers and Software Engineers to integrate, deploy, and monitor ML solutions in production environments, ensuring scalability and reliability. Professional & Technical Skills:- • Deep knowledge of machine learning algorithms, statistics, and data modeling techniques • Proficiency in Sagemaker, JupyterNotebooks, ML, AI, Deeplearning, Python, Frameworks like PyTorch, Tensor. Ecosystems like Huggingface, Practices like MLOps • Experience with ML development and MLOps on cloud services (AWS). • Strong experience with SQL/NOSQL and familiarity with handling large datasets, data preprocessing, and feature engineering. • Excellent ability to clearly communicate complex data science concepts to technical and non-technical stakeholders. • Demonstrated expertise in deploying, managing, and monitoring advanced NLP and LLM models- Deep expertise in transformer architectures, prompt engineering, semantic search techniques, and generative AI applications. Additional Information: • Candidate should have minimum 8 –10 yrs of experience in Data Science.