Staff Engineer

7 days ago

Remote India Nagarro Full time ₹ 12,00,000 - ₹ 24,00,000 per year
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 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 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.
Qualifications

Bachelor's or master's degree in computer science, Information Technology, or a related field.

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