Nagarro - Staff Engineer - Data Science (7-10 yrs)

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

REQUIREMENTS :

- Must have experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.

- Must have experience in prompt engineering, RAG & Generative AI.

- Should have experience in Python or R for Data Science.

- Should have experience in Classification-regression, Forecasting, Unsupervised Models, Recommendation Systems, Natural Language processing & Optimization.

- Should have experience in Data science on AWS/Azure/GCP.

- Strong troubleshooting skills in different disparate technologies and environments.

- Should be enthusiastic about different areas of work and exploring new technologies.

- Should have clarity of thought and strong communication skills to effectively pitch solutions.

- Must have ability to explore and grasp new technologies.

- Must be capable of mentoring team members in projects and helping them keep up with new technologies.

- Should be empowering the team members to be solution providers and enable a flat environment where everyones point of view is considered, and feedback is encouraged.

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.

- Should be open to travel onsite once a month