Job Responsibilities:

1. Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
2. Researching emerging AI/data science techniques and identifying relevant ones for client to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
3. Data wrangling & analysis - preprocessing, cleaning and feature engineering
4. Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
5. Developing backend APIs and services to support AI model deployment and integration
6. Building frontend interfaces and user experiences for AI-powered applications
7. Documenting changes to existing products
8. Reviewing and implementing fixes for reported security vulnerabilities;

Required Skills:

1. Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
2. Able to understand and apply a range of AI/ML techniques for regression and classification
3. Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
4. Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
5. Experience with context engineering techniques and prompt optimization strategies
6. Proficient in git, SQL
7. Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)