Role Purpose
The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction.
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Mandatory SkillsData Science, ML, DL, Python for Data Science, Tensorflow, Pytorch, Django, SQL, MLOps
Preferred SkillsNLP, Gen AI, LLM, PowerBI, Advanced Analytics, Banking exposure
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- Strong understanding of Data Science, machine learning and deep learning principles and algorithms.
- Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
- Experienced data scientist who can using python build various AI models for banking product acquisition, deepening, retention.
- Drive data driven personalisation, customer segmentation, in accordance with banks data privacy and security standards
- Expert in applying ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques
- Optimize model performance and scalability for real-time inference and deployment.
- Experiment with different hyperparameters and model configurations to improve AI model quality.
- Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards
- Working knowledge ane experience in ML Ops is a must and engineering background is preferred
- Excellent command of data warehousing concepts and SQL
- Knowledge of personal banking products is a plus
Mandatory Skills: AI Cognitive .
Experience: 8-10 Years .