Associate Principal Engineer,Data Science

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Full Remote
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Offer summary

Qualifications:

Bachelor’s or master’s degree in computer science, Information Technology, or a related field., 11+ years of experience in Data Science, Data Analysis, and Visualization., Strong proficiency in Python, R, or Scala, and familiarity with libraries like Pandas and NumPy., Hands-on experience with Generative AI tools and cloud platforms for ML model deployment..

Key responsibilities:

  • Understand client business use cases and translate them into technical designs.
  • Map decisions to requirements and communicate effectively with developers.
  • Define guidelines for non-functional requirements during project implementation.
  • Review architecture and design to ensure best practices in scalability, security, and user experience.

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Nagarro XLarge https://www.nagarro.com
10001 Employees
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Job description

Company 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 (18000+ experts across 38 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Job Description

REQUIREMENTS:

  • Total experience 11+ Years.
  • Strong working experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.
  • Hands-on experience with Generative AI tools and frameworks.
  • Strong proficiency in Python, R, or Scala, with experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, or Altair.
  • Deep knowledge of machine learning techniques (supervised, unsupervised, ensemble methods), optimization algorithms (e.g., linear programming, metaheuristics), and constraint satisfaction.
  • Understanding of evaluation metrics for LLMs and best practices to build production-ready GenAI apps.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML model training and deployment.
  • Familiarity with data engineering tools and workflows including ETL pipelines and distributed systems.
  • Excellent interpersonal and communication skills, with the ability to influence stakeholders and collaborate effectively across functions.

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.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Social Skills
  • Collaboration
  • Communication

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