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 Description
REQUIREMENTS:
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Experience : 6+ Years
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Role focuses on designing, developing, and deploying machine learning models to support AI-driven banking solutions.
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Seeks 7-10 years of experience in AI/ML engineering, ideally within banking or financial services.
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Expertise in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face for model development.
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Strong understanding of supervised and unsupervised learning algorithms, feature engineering, and data preprocessing.
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Experience with model evaluation techniques and performance metrics (accuracy, precision, recall, F1-score).
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Familiarity with AI use cases in banking, including fraud detection, personalization, credit scoring, and churn prediction.
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Proficiency in cloud-based ML platforms like Azure ML, AWS SageMaker, and Google Vertex AI for model deployment.
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Knowledge of MLOps frameworks for CI/CD, model lifecycle management, and monitoring (MLflow, Kubeflow).
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Ability to build explainable AI models using SHAP, LIME, and ensure compliance with regulatory standards.
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Hands-on experience with NLP and LLM engineering, including fine-tuning, prompt engineering, and RAG architectures.
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Familiarity with vector databases (FAISS, Pinecone), orchestration tools (LangChain, LlamaIndex), and conversational AI frameworks.
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Strong backend integration skills using RESTful APIs, containerization (Docker, Kubernetes), and microservices architecture.
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Professional certifications such as TensorFlow Developer, AWS ML Specialty, or Google Professional ML Engineer are preferred.
RESPONSIBILITIES:
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Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
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Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
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Determining and implementing design methodologies and tool sets
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Enabling application development by coordinating requirements, schedules, and activities.
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Being able to lead/support UAT and production roll outs
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Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
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Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
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Giving constructive feedback to the team members and setting clear expectations.
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Helping the team in troubleshooting and resolving of complex bugs
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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.