Job Description

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.

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