Associate Principal Engineer (Data Science)
Remote, India
Nagarro
A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.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 36 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:
- Experience : 11+ Years
- Must have experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.
- Must have experience in cloud architect, 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 everyone’s point of view is considered, and feedback is encouraged.
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 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.
- Should be open to travel onsite once a month.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Classification Computer Science Data analysis Engineering GCP Generative AI NLP Prompt engineering Python R RAG Security SQL Statistics
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