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 10+ years.
- Strong proficiency in Data Science, with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Expertise in Python, PySpark, C++, JavaScript, R, SAS, Excel, SQL.
- 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.