Staff Engineer, Data Science at Nagarro1

REQUIREMENTS: • Total experience: 5+ Years • 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. • Strong 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 new 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.