


● The candidate will be responsible for a broad array of individual services, including
Architect and lead team for implementing a set of cloud-based services that will
power Zopper Assure and Zopper Finance.
● Providing technical expertise for every phase of the project lifecycle from concept
development to solution design, implementation, optimization and support.
● Prior experience in development of e-commerce systems or any other high scale
web/mobile backends is required.
● Expertise in any one programming knowledge preferably in Python.
● Prototype and present various alternative solutions for complex business problems to
Senior Management
● Prepares the technical design of the more complex technology components within the
module
● Assists the architect in articulating the pros and cons of using a certain technology
stack or component or design pattern versus another to the project team and drives
selection of technologies, designs to come up with the optimal architecture.
● Drives the performance tuning, re-design and refactoring for a module
● Contributes to designing and implementing the build, release process as well as system
configuration and deployment characteristics of the application
● Implements (hands-on) the module components based on industry best practices.
● Mentors the team (people working on the module and other project team members) on
● Technology concepts and best practices for design, implementation and other
processes
Prerequisites
● Candidate should hold 8+ Yrs of experience
● Should have 3+ years of experience in team handling
● Should be a Btech/MTech

Similar jobs
1. Work with product managers, product marketing and engineers to produce and maintain world-class documentation, including user guides, integration guides, API developer guides, and platform documentation (tooltips, welcome instructions)
2. Buil and maintain client aids that go beyond traditional documentation, such as online videos, demos, guided tours, and other educational techniques
3. Learn complex concepts, and communicate the information in a way that is engaging and understood by users
4. Act as an editor to ensure consistency in training documentation
Why should you join us?
We at Fieldproxy provide more than just a startup experience. Some of the perks you will be getting include:
1. Competitive Salary
2. Company paid Health Insurance
3. Friendly and supportive work culture
4. Other perks such as free snacks and an informal dress code


- Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
Requirements
- 2 - 4 years of relevant experience in Data science.
- Preferred education: Bachelor's degree in a technical field or equivalent experience.
- Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
- Experience in risk and credit score domains preferred.
Job Description
We are looking for a talented Magento 1 and 2 developer that will oversee maintaining our
eCommerce website. Your main tasks will be to ensure that the last security patches are installed and that existing functionality continues to work properly. You will also oversee developing new modules and applying any required front-end changes.
What we expect from you?
Good experience in eCommerce development
Strong debugging skills, Code flow analysis, and the ability to read and modify existing
code.
Good knowledge of Payment gateway integration
Shopify experience will be a big plus.
2+ years of work experience.
Strong problem-solving and troubleshooting skills.
Good communication and Learning attitude.
Strong object-oriented programming knowledge
Very good PHP knowledge
JavaScript is a must for front-end development
Extensive LESS & CSS knowledge
Magento certification is a big plus
What you will get to work on?
Create responsive sections as per the requirement given to you.
Bug fixing, testing, and maintenance of the site.
Data entry work is also included
Regularly update our Magento installation
Install security patches
Develop new functionality
Implement front-end changes.
For more details dial - nine/one/zero/one/four/double three/eight/one/two.


- Experience working with ASP.NET MVC, Entity Framework, LINQ, NoSQL, and Message Queue
- Demonstrated understanding of best practices in building web based applications
- Familiarity with SQL Server / Oracle Databases
- Demonstrated knowledge of enterprise architecture, design patterns and SOA services
- Responsible for design, code, configuration, and implementation of high quality software solutions
- Analyzes and automates tasks, automating tasks through scripting and tools
- Works closely with technical leaders to help develop solution architecture, core system components, and proof of concepts
- Work both autonomously and with relevant teams to tackle complex technical issues
- Participate in design, code, and QA walkthroughs and reviews


Are you looking for a Senior Backend Engineer role in a high growth startup? Are you eager to learn and make a difference at work every day? If so, then read on.
At PlumQR, we work on revolutionizing the Food & Beverage industry with our cloud-based tech products. Millions of businesses across the world are switching for better, smarter & more hygienic products to reinvent their businesses. If you have what it takes to innovate & lead, we have just the right opportunity for you.
Requirements
- Minimum 3 years as a Senior Backend Engineer
- Strong software development experience in a SaaS product company
- Significant experience with NodeJS, React.js, React Native, MySQL, MongoDB, Java
- Cloud computing services (e.g. Google Cloud Platform)
- Strong problem-solving skills
- Ability to explain technical details to people inside the company
- Someone who enjoys Sports, Marketing, and Fashion
- A skilled graphic designer based in Bangalore (or ready-to-move).
- Has a good understanding of graphic design principles and typography.
- We are looking for someone who is really creative and well-versed in the tools of the trade.
- Someone who is looking to get involved in more than just graphic design
- People who work well in teams

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

