Job title: Software Engineer II – AI/ML

Company: Mastercard

Job description: Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutio

Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Job Title Software Engineer II – AI/ML We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless . We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role: . Gather relevant information to define the business problem . Creative thinker capable of linking AI methodologies to identified business challenges . Develop AI/ML applications leveraging the latest industry and academic advancements . Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You: :. Demonstrated passion for AI competing in sponsored challenges such as Kaggle . Previous experience with or exposure to: .Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL . .Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning .Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, .Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, .Recommender Systems – Collaborative Filtering, FPMC, FISM, Fossil .Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. .Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts Cost .Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy developed applications in KRR, NLP, Speech and Image processing .Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus . Concentration in Computer Science COVID-19 Considerations We value the safety of each member of our community because we know we’re all in this together. In many locations, which may change over time, we’ve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in some locations, only individuals who have been fully vaccinated will be permitted inside Mastercard offices until further notice. In the US, Mastercard is a government contractor, which may legally require most Mastercard employees to be vaccinated unless a verified approved medical or religious exemption is granted. Further, we are currently making every effort towards having employees return to work in the office 2 days per week, if that makes sense for their team. Everyone must be vaccinated to enter Mastercard offices at this time. Therefore, we expect all candidates to be vaccinated or to be approved for a medical or religious accommodation prior to commencing work at Mastercard. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices Ensure the confidentiality and integrity of the information being accessed Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Expected salary:

Location: Vadodara, Gujarat

Job date: Sun, 15 May 2022 22:21:27 GMT

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