Product Designer

REMOTE JOB

Senior Back-end Developer

You will be responsible for working closely with our engineers to ensure system consistency and improve user experience. Ultimately, you should be able to develop and maintain functional and stable web

applications to meet UAS technology requirements.

Responsibilities

• Develop, troubleshoot, and debug applications.

• Manage cutting-edge technologies to improve legacy applications.

• Collaborate with Front-end developers to integrate user-facing elements with server-side logic.

• Gather and address technical and design requirements.

• Provide training and support to internal teams.

• Build reusable code and libraries for future use.

• Liaise with developers, designers, and system administrators to identify new features.

• Follow emerging technologies.

• Teamwork skills with a problem-solving attitude

• Excellent analytical and time management skills

Requirements

• Have 5+ years solid expertise in building enterprise-level Node.js Applications with a strong

knowledge in the following related technologies & frameworks: Javascript, Typescript, Express.JS,

Nest.JS, Loopback, Sequelize, Socket.io.

• Write clean, testable, and reusable code using TDD, with hands-on experience working in both

Monolith and Microservices architecture.

• Experience working with Unit Testing frameworks: Mocka, Chai, Istanbul

• Solid expertise in database technologies and ORMs including Sequelize, MySQL, MongoDB, Redis

• Proficient understanding of code versioning tools, such as Git/GitFlow and SourceTree

• Experience setting up your own CI/CD pipelines

• Experience working with communication protocols like (Websockets, gRPC, XMPP)

• In-depth understanding of the entire web development process (design, development, and

deployment)

• Hands on experience with other programming languages like Java, Ruby, PHP and Python with

sufficient knowledge in using 3rd party packages/plugins

• Familiarity with front-end languages (e.g. HTML, JavaScript and CSS)

• Familiarity working with popular cloud providers like Azure, AWS

• BSc degree in Computer or in relevant field

Java Full stack developer for Tech ladd company

Learned company standards of application software development, Agile and iterative 

development methodologies

Adept at planning and executing deployment of system features, orchestrating the integration, and maintaining the system throughout its life cycle. Proficient in interacting with key clients, understanding their requirements to complete projects within stipulated time and budget, and ensuring optimum client satisfaction.

• Manual Testing and Automation Testing (Any tool).
• Good knowledge of UI automation using Selenium
• Writing advanced SQL queries and data validation technique
• Functional Testing
• Experience in Regression testing & Defect life cycle management
• Good Experience of working in an AgiLe
• Experience working with defect management tools like JIRA Well versed with all types of testing artifacts.
• Experience in Api testing
• Experience in Mobile App testing
• Good understanding of SDLC
• Good Communication

About 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.

What we are re looking for

• 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?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• 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
• 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
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering