Role Description We are looking for a skilled professional to join our team with the following responsibilities: - Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. - Mapping decisions with requirements and be able to translate the same to developers. - Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. - Defining guidelines and benchmarks for NFR considerations during project implementation. - Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. - Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. - Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. - Understanding and relating technology integration scenarios and applying these learnings in projects. - Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. - Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Requirements - Total experience 9+ years. - Hands on working experience in data science with a focus on predictive modelling (e.g., Statistical Analysis, ANOVA, Time series Analysis, Regression Analysis) and optimization. - Strong working experience with Data Science on GCP, Generative AI fundamentals. - Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn. - Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g., AWS, Azure, GCP). - Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques. - Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. - Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. - Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Company Description