Nagarro Staff Engineer (Data science) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Staff Engineer (Data science) Full-time Service Region: South Asia 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: 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 clients 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. Qualifications Bachelors or masters degree in computer science, Information Technology, or a related field. Videos To Watch I'm interested I'm interested Imprint I'm interested Refer a friend share this job Share on LinkedIn&mini=true&source=SmartRecruiters&summary=Nagarro%20is%20looking%20for%3A%20Staff%20Engineer%20(Data%20science)%20in%20Remote%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000092688385-staff-engineer-data-science-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000092688385-staff-engineer-data-science-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000092688385-staff-engineer-data-science-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email&body=Nagarro%20is%20looking%20for%3A%20Staff%20Engineer%20(Data%20science)%20in%20Remote%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000092688385-staff-engineer-data-science- Share via email) Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue Staff Engineer (Data science) Remote, India Full-time I'm interested I'm interested

The role requires at least 6 years of experience, with a preference for 7-10 years in AI/ML engineering, particularly within banking or financial services. Expertise in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face is necessary for model development. A strong understanding of supervised and unsupervised learning algorithms, feature engineering, and data preprocessing is essential. Proficiency in cloud-based ML platforms like Azure ML, AWS SageMaker, and Google Vertex AI for model deployment is also required. Familiarity with MLOps frameworks for CI/CD, model lifecycle management, and monitoring is expected. The position also calls for hands-on experience with NLP and LLM engineering, including fine-tuning, prompt engineering, and RAG architectures. A Bachelor's or Master's degree in computer science, Information Technology, or a related field is required. Professional certifications are preferred.