Staff Engineer, Machine Learning

REQUIREMENTS: 

• 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.

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