Senior Staff Engineer, Data Science

Remote, India

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Nagarro

A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.

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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 scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). 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 proficiency in Python for Data Science, with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Hands on working experience in R or Scala
  • Deep understanding of machine learning fundamentals, data manipulation, and statistical techniques.
  • Expertise in Generative AI tools and frameworks such as LangChain, LlamaIndex, and LLM fine-tuning.
  • Expertise in ML/DL techniques, including regression, clustering, random forests, CNN, RNN, etc.
  • Experience with big data platforms: Hadoop, Hive, Spark, Kafka
  • Familiarity with cloud-based ML platforms: Azure ML, Azure Data Lake, Databricks
  • Ability to visualize data using Power BI or similar tools.
  • Proven track record in applying metaheuristics and other optimization methods to real-world problems.
  • Strong analytical mindset with the ability to analyze large datasets, derive insights, and drive business decisions.
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

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.

Qualifications

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Azure Big Data Clustering Computer Science Databricks Engineering Generative AI Hadoop Kafka LangChain LLMs Machine Learning NumPy Pandas Power BI Python PyTorch R RNN Scala Scikit-learn Security Spark Statistics TensorFlow

Regions: Remote/Anywhere Asia/Pacific
Country: India

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