The role involves designing, developing, and deploying machine learning models for AI-driven banking solutions. Responsibilities include understanding requirements, coordinating application development, and leading user acceptance tests.
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 scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 39 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 DescriptionREQUIREMENTS:
- Experience : 6+ Years
- Role focuses on designing, developing, and deploying machine learning models to support AI-driven banking solutions.
- Seeks 7-10 years of experience in AI/ML engineering, ideally within banking or financial services.
- Expertise in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face for model development.
- Strong understanding of supervised and unsupervised learning algorithms, feature engineering, and data preprocessing.
- Experience with model evaluation techniques and performance metrics (accuracy, precision, recall, F1-score).
- Familiarity with AI use cases in banking, including fraud detection, personalization, credit scoring, and churn prediction.
- Proficiency in cloud-based ML platforms like Azure ML, AWS SageMaker, and Google Vertex AI for model deployment.
- Knowledge of MLOps frameworks for CI/CD, model lifecycle management, and monitoring (MLflow, Kubeflow).
- Ability to build explainable AI models using SHAP, LIME, and ensure compliance with regulatory standards.
- Hands-on experience with NLP and LLM engineering, including fine-tuning, prompt engineering, and RAG architectures.
- Familiarity with vector databases (FAISS, Pinecone), orchestration tools (LangChain, LlamaIndex), and conversational AI frameworks.
- Strong backend integration skills using RESTful APIs, containerization (Docker, Kubernetes), and microservices architecture.
- Professional certifications such as TensorFlow Developer, AWS ML Specialty, or Google Professional ML Engineer are preferred.
RESPONSIBILITIES:
- Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs
- Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs
- 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.
Top Skills
Aws Sagemaker
Azure Ml
Docker
Faiss
Google Vertex Ai
Hugging Face
Kubeflow
Kubernetes
Langchain
Llamaindex
Mlflow
Pinecone
Python
PyTorch
Restful Apis
Scikit-Learn
TensorFlow
Similar Jobs
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Staff Engineer, Data Science will lead data science projects, mentor team members, and implement machine learning solutions, focusing on statistical analysis, model deployment, and using deep learning frameworks.
Top Skills:
AWSAzureGCPJaxPythonPyTorchRScikit-LearnSQLTensorFlow
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.
Hardware • Information Technology • Security • Software • Cybersecurity • Conversational AI
The Senior Product Security Engineer manages vulnerabilities, assesses severity, triages issues, and optimizes security processes while collaborating globally.
Top Skills:
Atlassian SoftwareBashBlackduckCisco Ios-XeCoverityJIRAPythonSemgrepVigilesWiresharkYocto Cve Scanner
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

.png)