The Senior Staff Engineer, Data Science role involves leading data science initiatives, developing predictive models, and optimizing solutions, ensuring technical requirements meet business needs, and overseeing design quality and documentation.
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 38 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:
- 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 (e.g., AWS, Azure, GCP).
- Proven expertise in machine learning, mathematical optimization (e.g., 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 (e.g., 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 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.
Top Skills
AWS
Azure
Docker
GCP
Generative Ai
Kubernetes
Langchain
Llamaindex
Mlflow
Numpy
Pandas
Python
PyTorch
R
Rag
Scikit-Learn
TensorFlow
Nagarro Chennai, Tamil Nadu, IND Office
AWFIS, 111, Rajiv Gandhi Road, Old Mahabalipuram Road, Kottiwakkam Village, OMR India, Chennai, India, 600041
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