Job Description

Senior Staff Engineer, Data Science Nagarro

Total experience 10+years.
Hands on working experience in data science with a focus on predictive modeling and optimization.
Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (eg, AWS, Azure, GCP).
Proven expertise in machine learning, mathematical optimization (eg, LP, IP, genetic algorithms, RL), and NLP techniques.
Familiarity with Generative AI fundamentals and hands-on experience with RAG, LangChain, LlamaIndex, and prompt engineering.
Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management.
Experience in Reinforcement Learning, Ant Colony Optimization, or other advanced AI methodologies.
Familiarity with containerization tools (eg, Docker, Kubernetes) for model deployment.
Hands-on experience with version control, MLflow, or similar experiment tracking tools.
Strong interpersonal and communication skills to interact with business and technical teams effectively.
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 followe’d.
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.

Bachelor s or master s degree in computer science, Information Technology, or a related field.
Role: Data Science & Machine Learning – Other
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: Any Postgraduate