Staff Engineer (Machine Learning in Banking)
- Full-time
- Service Region: South Asia
Company Description
👋🏼We're Nagarro. (www.nagarro.com)
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 (17500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
REQUIREMENTS:
- Experience : 6+ Years
- This role involves designing, developing, and deploying machine learning models to support AI-driven banking / Financial solutions
- Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
- Solid understanding of supervised/unsupervised learning, data preprocessing, and feature engineering.
- Experience with model evaluation metrics (accuracy, precision, recall, F1-score).
- Familiarity with banking AI use cases such as fraud detection, personalization, credit scoring, and churn prediction.
- Hands-on experience with cloud ML platforms (Azure ML, AWS SageMaker, Google Vertex AI).
- Knowledge of MLOps tools like MLflow and Kubeflow for CI/CD, model lifecycle management, and monitoring.
- Ability to develop explainable AI models using SHAP, LIME, and ensure regulatory compliance.
- Strong skills in NLP and LLM engineering, including fine-tuning, prompt engineering, and RAG-based architectures.
- Knowledge of vector databases (FAISS, Pinecone), orchestration tools (LangChain, LlamaIndex), and conversational AI frameworks.
- Strong backend integration capabilities using REST APIs, Docker/Kubernetes, and microservices.
- Preferred certifications: TensorFlow Developer, AWS ML Specialty, Google Professional ML Engineer.
RESPONSIBILITIES:
- 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.