Company Description We re Nagarro We are a Digital Product Engineering company that is scaling in a big way We build products services and experiences that inspire excite and delight We work at a scale across all devices and digital mediums and our people exist everywhere in the world 17500 experts across 39 countries to be exact Our work culture is dynamic and non-hierarchical We are looking for great new colleagues That is where you come in REQUIREMENTS Must have experience in Machine Learning Fundamentals Data Analysis Visualization Statistics Probability SQL Model Packaging Deployment Must have hands on generative AI fundamental RAG text to SQL Should have experience in Python or R for Data Science Should have experience in Classification-regression Forecasting Anomaly detection Market mix model Predictive analysis Unsupervised Models Recommendation Systems Natural Language processing Optimization Should have experience in Data science on AWS Azure GCP Must have exposure in model deployment using docker Kubernetes Solid troubleshooting skills in different disparate technologies and environments Should be enthusiastic about different areas of work and exploring new technologies Should have clarity of thought and strong communication skills to effectively pitch solutions Must have ability to explore and grasp new technologies Must be capable of mentoring team members in projects and helping them keep up with recent technologies Should be empowering the team members to be solution providers and enable a flat environment where everyone s point of view is considered and feedback is encouraged RESPONSIBILITIES Writing and reviewing great quality code 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 Should be open to travel onsite once a month Qualifications Bachelor s or master s degree in computer science Information Technology or a related field

📌 Staff Engineer, Data Science (Karnataka)
🏢 Nagarro
📍 Karnataka