Nagarro

Principal Engineer, Data Science

Nagarro

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonScikit-Learn

About the role

  • 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.

Requirements

  • Total experience 15+ years
  • Hands on working experience in data science with a focus on predictive modelling (eg. 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.
Benefits
  • Employees can work remotely

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencepredictive modellingstatistical analysisANOVAtime series analysisregression analysismachine learningmathematical optimizationnatural language processingMLOps
Soft skills
communicationcollaborationproblem-solvinganalytical thinkingtechnical designdecision makingguideline definitionreviewing architecturesystematic analysisclient requirements understanding