Artificial Intelligence Developer

Who is Mastercard?

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.

Job Title

Artificial Intelligence Developer

Artificial Intelligence Developer (Analyst Level - 8/7)

Who is Mastercard?
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.

Overview
Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.
Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.
It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products; and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.
•Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
•Have you managed the client independently and effectively?
•Do you want to play a key role in driving a world beyond cash?

Role
1.Understand Client problems/areas of improvement and potential Solutions using AI/ML.
2.Execute project plan to meet requirements and timelines
3.Identify success metrics and monitor them to ensure high quality output for the client
4.Create relevant output documents, as required - power point deck/ excel files, dataframes etc.
5.Monitor project progress in conjunction with the project plan - report risks, scope creep etc. in a timely manner
6.Deliver production ready models that can be deployed in production system, if required
7.Be a team player in a highly dynamic and result oriented team of AI professionals

Technical Skills
1.Experience in developing applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
2.Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
3.Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, LSTM's GRU's. 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
4.Expertise in 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 etc
5.Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
6.Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning
7.Minimum 3+ years of AI application development and implementation experience in production system
8.Prefer Graduate/Masters degree in Mathematics/Computer Science/Engineering/Quantitative fields

Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.​


Meet Some of Mastercard's Employees

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