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Associate Principal Engineer, Data Science @ Nagarro

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 Associate Principal Engineer, Data Science

Job 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). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!


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).
  • Hands on experience with SQL relational databases, and big data ecosystems
  • 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.

RESPONSIBILITIES:

  • Writing and reviewing great quality code
  • Understanding the clients 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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Nagarro
Location(s): India

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Keyskills:   Data Science Generative Ai GCP Machine Learning Python Pandas Cloud Architecture

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