Job Description

Data Scientist for AI/ML/Reinforcement Learning in Banking Domain Job Summary: At EXL, we have developed advanced solutions for some of the most exciting and challenging business problems. We utilize a lot of intelligence in our solutions that are driven by AI. If you want to push the existing AI knowledge boundaries, then we have an excellent opportunity for you. We are looking for Data Scientists who can develop state of the art, scalable, and self-learning system for information extraction from unstructured content (text, image, speech and video). The major responsibility would be to develop AI components for existing solutions using in-production (feedback) data and state of the art tools and techniques. Job Responsibilities: Design, develop and implement solutions for a wide range of AI/ML use cases involving classification, extraction and search on unstructured data Design develop and implement self-learning solution for automated decision leveraging in-production (feedback) data (Reinforcement Learning) Create and maintain state of the art scalable AI solutions implemented in Python for multiple business problems. This involves: Choosing most appropriate ML technique(s) based on business needs and available data Performing data exploration and innovative feature engineering Continuous reporting and monitoring of the solution outcome Collaborate with product teams and cloud deployment teams Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions Open to working across different domains - Insurance, Healthcare and Financial Services etc. Qualifications: Number of Years of Work Experience: 10-15 years Education: Engineering graduate from Top Tier Universities is a plus Required Skills: Experience (including graduate school) on training machine learning models Hands on experience with ML tools such as Scikit-learn, PyTorch, HuggingFace ecosystem Experience with applied machine learning using Python Production level coding experience in Python is a must Demonstrable experience with reinforcement learning, including mastery of various RL algorithms (Q-learning, Policy Gradient methods, DDPG, etc.) and a clear understanding of their real-world application scenarios. Sound knowledge of Model Free RL algorithms is required Experience with deep learning framework such as PyTorch, TensorFlow is a must Experience with ML training on GPUs Experience with database like Postgres is a plus Experience with using cloud technologies on AWS/ Microsoft Azure is a plus Understanding of banking domain and reinforcement learning in banking domain in a must Experience in risk modelling Organized, self-motivated, disciplined and detail oriented What we offer: EXL Digital offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class AI/ML and NLP consultants. You do not just spend your time performing data crunching, doing research and coding but develop yourself as a seasoned data science expert with applied industry knowledge. You can expect to learn many aspects of businesses that our clients engage in. We provide you an opportunity to work on a variety of use cases across different industries - Insurance, Healthcare, Banking Finance and many more Projects drive you to go beyond lab setup and make real impact on live use cases through production deployments You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth AI/ML and NLP requires different skill sets at different levels within the organization. At EXL Digital, we invest heavily in training you in all aspects including AI/ML/NLP and cloud tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.

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