Lead- Artificial Intelligence- BFSI

Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field from premier engineering institutes of global ranking. Should have minimum 10-20 years of experience in architecture, design and development of highly scalable software products & applications. Proven experience in managing AI projects and leading technical teams. In-depth knowledge of AI, machine learning, and deep learning techniques. Strong understanding of data science concepts and methodologies. Experience in BFSI projects as Product Areas Include (i) Trade Finance (ii)Retail Lending (iii) Account Opening (iv) SME Lending (v) Capital & Wealth Management Excellent communication and leadership skills. Ability to manage multiple projects simultaneously and meet deadlines. Demonstrated ability to continuously learn new technologies and quickly evaluate their technical and commercial viability Demonstrating thought leader-level abilities in commonly used data science packages including Spark, Pandas, SciPy, and Numpy Leveraging familiarity with deep learning architectures used for text analysis, computer vision and signal processing Developing end to end deep learning solutions for structured and unstructured data problems Developing and deploying AI solutions as part of a larger automation pipeline Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale system Understanding of not only how to develop data science analytic models but how to operationalize these models so they can run in an automated context Using common cloud computing platforms including AWS and GCP in addition to their respective utilities for managing and modeling large data sources, model, development, and deployment High level experience in AI/ML fundamentals Strong background in software Up-to-date knowledge of AI/ML technologies and their trends, including various libraries and tools Built feature stores and auto ML capabilities End to end ML work and deploying of models Knowledge of how full stack SaaS products work, scale and perform Commercial experience building architecture on AWS Expertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learning Proficient in deep programming to implement solutions in production Advanced data science and mathematical skills (e.g. PhD in computational modeling, machine learning, statistics, computer science) Experience with modern databases, cloud environments, and data ecosystems Experience defining and leading large-scale projects with multiple stakeholders Experience within a leadership role where you have proven success with building and maintaining teams Skills Python TensorFlow PyTorch Natural Language Processing (NLP) Computer Vision Deep Learning Data Analysis Project Management Model Deployment Git