Associate Principal Engineer, Data Science

Summary

Join Nagarro, a Digital Product Engineering company, as a Data Scientist with 11+ years of experience. You will leverage your expertise in predictive modeling, optimization, and Generative AI to build innovative products and services. Responsibilities include writing high-quality code, understanding client needs, designing solutions, and collaborating with cross-functional teams. Strong experience with Python, GCP, and MLOps principles is required. A Bachelor's or Master's degree in a related field is necessary. You will be involved in the entire lifecycle of data science projects, from design and development to deployment and maintenance.

Requirements

• Total experience 11+ years
• Hands on working experience in data science with a focus on predictive modeling 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, TensorFlow, PyTorch
• Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. 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
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

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 clients’ 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