Nagarro is hiring a
Principal Engineer (Data Science)

Summary

Join Nagarro as a Digital Product Engineering company and contribute to building products, services, and experiences that inspire and delight. We are looking for great new colleagues with expertise in AI-ML/GenAI techniques and experience working at scale across all devices and digital mediums.

Requirements

• 13+ Years of experience
• Proven experience with AI-ML/GenAI techniques
• Expertise in MLops and model deployment in production
• Proficiency in programming languages such as Python and R
• Strong knowledge of data manipulation, feature engineering, and model evaluation
• Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, etc
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

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