Associate Principal Engineer, Data Science

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Nagarro

📍Remote - India

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, SQL, and various machine learning techniques is required. Familiarity with MLOps and cloud architecture is also essential. You will play a key role in defining guidelines, reviewing designs, and ensuring best practices are followed throughout the project lifecycle.

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
  • 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

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