Inside Sales - SaaS

Location: Ahmedabad (Temporary WFH)

Designation: QA Engineer

Experience: Fresher to 3 Years

Salary: As per market standards

Responsibilities

1-Should have played a vital role in Setting up Automation Frameworks, Processes, and Standards.

2-Expert proficiency in automation scripting using Java or other scripting languages.

3-Experience in using automation tools like Selenium/Webdriver, Sikuli, Junit/JMeter, etc.

4-Good expertise in System, Regression, Smoke, Sanity, Ad-Hoc, Browser Compatibility, and Interface testing.

5-Prepare test case for Functional, Non-Functional, Integration and Usability, UI.

6-Experienced with a defect and bug tracking tools like Bugzilla, JIRA, etc.

7-Hands on experience in Test Planning, Test designing, and Test Execution, Defect Tracking & Defect Reporting.

8-Experience working in an agile development environment and scrum methodologies.

9- Involvement in setting up Test Environments, Requirements Management, Requirement Analysis.

10-Good understanding of database.

11-Should have experience in API testing.

12- Should have knowledge of payment gateway testing.

13- Good Knowledge of Performance Testing, Regression Testing, DataBase testing, Android Testing.

Qualifications

Education: B.E/B.Tech BCA/MCA

MYDESIGNATION, Kerala's favourite youngster fashion brand is looking for new teammates to join our sales force. Good communication skills and previous sales experience will be an advantage.

Freshers are also welcome aboard

Salary: 212, 006 to 220, 000 based on experience 

Location: Lulu Mall & Mall of Travancore Trivandrum 

Desired candidates must have 2-6 years experience as NodeJs Developer. If the candidate is not able to relocate to Gurgaon then we can also provide permanent Work from home for this position.

Roles and responsibilities:

• Responsible for understanding functional and business requirements and translate them into effective code
• Provide support till deployment of code into production.
• Ownership for ensuring code optimization, problem diagnosis, and on-time delivery
• Implement solutions as per the pre-defined framework /guidelines and adherence to processes
• Finding an optimal solution for the problem statement
• Conduct peer code review.

What candidate should know about:

• Excellent hands-on experience with Node.Js, Express.Js, JavaScript
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Excellent hands-on experience with MongoDB, Mongo aggregation, MySQL
• Ability to build REST services, Authentications, MVC applications
• Excellent Object Oriented Programming skills and ability to write modular, secure, scalable, and maintainable code
• Experience with Elastic Search, Redis.
• Knowledge about AWS components (S3, EC2, Cloudfront, Redis Clusters, etc.)
• Self-learning abilities are required
• Familiarity with upcoming new technologies is a strong plus

The kind of candidates we are looking who has good experience in support role, Must work in L1 &L2,  ready to work in 24/7 environment,  good to have someone worked in ERP OR Mobile App Support.

Job Requirement: 
• Good understanding of QA methodologies, procedures and QA documentation. Design, develop and maintain test cases.
• Work closely with onsite team & client on Application Support, Maintenance & Implementation tasks.
• Must be able to perform detailed analysis from logs, Query results for an issue reported
• Must be willing to work work in Shift Environment including night shifts and in 24x7 mode, even on Public Holidays as per roaster setup.
• Ready to travel on client site (even on short notice)
• Have sound knowledge about at least one Incident Management system/application.
• Can able to work as an individual contributor and within team as well
• Maintain relevant status reports, in timely manner
• Self-motivated, goal oriented, self-driven, strong interpersonal skills

Desired Candidate Profile:
• IT Graduate
• 3-5 years of technical experience in Application Support, Maintenance & Implementation projects, on a complex environment.
• Recent 2 years of experience in Logistics (Shipping) industry, preferably. Knowledge of Container port Operations is Preferrable  

• Coordinate and manage all marketing, advertising and promotional activities of the clients.
• Brief the creative team about the client requirements, and get the job done as per the company’s standard & client’s brief.
• Work on market research to determine market requirements for existing and future prospects/clients.
• Maintain cordial relation with different media individuals
• Meet clients on a regular basis to understand their business and requirement.
• Make sure that the client receives all the material as per the committed timelines. Marketing ideas for general & Social Media Platforms.
• Manage the workflow and come up with solutions to execute jobs as per deadlines.
• Being proactive in suggesting new ideas to clients.
• Reports and Presentations would be needed on a monthly basis.
• Create presentations for a new client pitch or big promotions.

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