Current opportunities with Us!

Apply only if you have exceptional Technical & Communication skills with a proven record!

The React.JS lead will be working either from our Noida office OR Remotely. He/She will work closely with our Global Client base. As a front-end Developer, he/she will work on a variety of projects, ranging from internal custom software updates to product development needs for new projects.

Responsibilities:

  • Developing new user-facing features using React.js
  • Building reusable components and front-end libraries for future use
  • Translating designs and wireframes into high quality code
  • Optimizing components for maximum performance across a vast array of web-capable devices and browsers
  • Making a decision to do something


Skills:

  • Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
  • Thorough understanding of React.js and its core principles
  • Experience with popular React.js workflows (such as Flux or Redux)
  • Familiarity with newer specifications of EcmaScript
  • Experience with data structure libraries (e.g., Immutable.js)
  • Knowledge of isomorphic React is a plus
  • Familiarity with RESTful APIs
  • Knowledge of modern authorization mechanisms, such as JSON Web Token
  • Familiarity with modern front-end build pipelines and tools
  • Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
  • Ability to understand business requirements and translate them into technical requirements
  • A knack for benchmarking and optimization

The Developer will be working either from our Noida office OR Remotely. He/She will work closely with our Global Client base. As a front-end Developer, he/she will work on a variety of projects, ranging from internal custom software updates to product development needs for new projects.

  • Designing and developing user interfaces using AngularJS best practices.
  • Adapting interface for modern internet applications using the latest front-end technologies.
  • Writing JavaScript, CSS, and HTML.
  • Developing product analysis tasks.
  • Making complex technical and design decisions for AngularJS projects.
  • Developing application codes and unit tests in AngularJS, Java Technologies, and Rest Web Services..
  • Conducting performance tests.
  • Ensuring high performance of applications and providing support.


Skills:

  • Bachelor’s Degree in Computer Science, Computer Engineering or similar.
  • Previous work experience as an AngularJS Developer.
  • Proficient in CSS, HTML, and writing cross-browser compatible code.
  • Experience using JavaScript building tools like Gulp or Grunt.
  • Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
  • Excellent project management skills.
  • Proven experience implementing front-end and back-end JavaScript applications.
  • Excellent communication skills.
  • Critical thinker and good problem-solver.
  • Ability to understand business requirements and translate them into technical requirements

AI and machine learning are taking industries by storm, arming them with advanced predictive and state-of-the-art decision-making capabilities. As an AI/ML developer we are looking for exceptional candidates who have an indepth experience in critical business problems and models.

  • Ability to write code in Java and Python.
  • Knowledge on basics of math and probability.
  • Good understanding and strong knowledge in algorithms and statistics.
  • Appreciation of data modelling, software architecture and data structures.
  • Past experience of working in frameworks in last job or internship.
  • Developing deep learning systems to various use cases based on the business needs
  • Undertaking machine learning experiments and test.

As a Data Analyst we expect the candidate to have knowledge of database languages such as SQL, R, or Python & spreadsheet tools such as Microsoft Excel or Google Sheets. Also Data Visualization software such as Tableau or Qlik. Candidate should have strong mathematical and statistical skills that he/she is able to help gather, measure, organize, and analyze data.

  • Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
  • Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
  • Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
  • Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
  • Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
  • Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.

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