Content Writer

Role & Responsibilities:

• Individuals are responsible for all traditional development activities analysis, design, coding, testing, and documentation.
• Add new features to existing Windows and Web-based applications in Visual Studio 2019. Interacting with internal team.
• Transform business and design needs into innovative products.
• Drive all projects to completion within deadlines.
• Perform thorough testing to find issues ahead of time.
• Engineering software needs more precise analysis & coding skillset 
• Enhance skillset by working with fortune 500 clients
• Interacting with internal team. 

Qualifications:

• B.E in computer science or related fields.
• Hand on development experience with web & database technologies (MS SQL).
• Excellent programming & communication skills Strong problem solving, judgmental, and decision-making skills.
• Ability to work at the tactical and strategic levels of IT initiatives.
• Impressive hands-on experience in .Net technologies. Impressive hands-on experience and knowledge with C#, SQL, JSON, XML, Win Forms & MVC, Angular, JavaScript, jQuery , HTML/CSS.
• Self-Motivated, flexible & Innovative.

Hi,

We are hiring for QA Assurance Automation Engineer

Role Responsibilities:

You will be responsible for analysing the functionality of applications and designing automated tests to validate their performance. You will also be required to identify bugs and collaborate with the software design team. To ensure success as a QA automation engineer, you should have advanced programming skills, must be able to design and write efficient test procedures for every software application.

• Identifying software application weaknesses and target areas.
• Sketching out ideas for automated software test procedures.
• Reviewing software bug reports and highlighting problem areas.
• Writing automation scripts and implementing software applications.
• Troubleshooting automation software and finalizing system procedures.
• Identifying quality issues and creating test reports.
• Collaborating with operations teams to understand the customer issues and feedbacks and work with the various software teams to solve application faults.
• Analyse and investigate product complaints or reported quality issues to ensure closure in accordance with company guidelines and external regulatory requirements

Required Skills and Qualifications

• Bachelor’s degree in computer science, software engineering, or a related field.
• Previous experience working as a QA automation engineer.
• Advanced programming skills including automation systems and databases.
• Experience in writing automation scripts using PHP and Selenium (RC and WebDriver)
• Review manual test cases for the relevant application and provide feedback on suitability for automation to the project team
• Excellent analytical skills.
• Detailed knowledge of application functions, bug fixing, and testing protocols.
• Good written and verbal communication skills.
• Keen attention to detail.

Responsibilities:

·       Develop and maintain mobile applications using Flutter framework

·       Work with UI/UX designers to implement engaging and intuitive user interfaces

·       Collaborate with back-end developers to integrate with RESTful APIs and other services

·       Participate in code reviews and provide constructive feedback to improve code quality

·       Stay up-to-date with emerging trends and technologies in mobile app development

·       Participate in Agile development process, including sprint planning, daily stand-ups, and retrospectives

·       Debug and troubleshoot issues reported by end-users

·       Contribute to the development of project plans, timelines, and budgets

·       Communicate effectively with team members and project stakeholders

Requirements:

·       Bachelor's degree in Computer Science or related field

·       Strong experience with Flutter framework and Dart programming language

·       Experience with mobile app development for both iOS and Android platforms

·       Strong understanding of software design patterns and architectural principles

·       Strong debugging and troubleshooting skills

·       Experience with Agile development methodologies

• Gather benchmark data about jobs, compensation and benefits
• Map out salary ranges for our open positions
• Calculate retention, turnover and internal mobility rates
• Report on key recruiting metrics like time to fill and hiring costs
• Assist hiring managers in designing hiring and training plans
• Forecast costs by department and help create budgets
• Analyze employees’ answers to internal surveys (like job satisfaction surveys)
• Assess results from our employee performance reviews
• Identify top reasons why candidates and employees choose to work with our company and recommend areas of improvement for our HR procedures

• Work experience as an HR Analyst or similar role
• Experience using Human Resources Management Systems
• Excellent analytical skills
• Ability to create detailed spreadsheets, charts and presentations
• Good research abilities
• Familiarity with HR operations including hiring, payroll and employee benefits
• BSc in Human Resources, Business Administration or relevant field

Responsibilities

1. Design and Build Mobile and Web Apps

2. Support technically for CRMs

3. Working with designers to understand the user's experience with new features

4. Designing and building features for our iOS app

5. Developing unit tests along with features and integration tests into the development process

6. Maintaining current capabilities of our app which include debugging and fixing issues while maintaining code quality

Qualifications

1. At least 1 year of proven experience in building Android & iOS applications.

2. Bachelor's degree in computer science

3. Proficient in working with Jira and Confluence is a plus

4. Comfortable working in a dynamic, constantly changing atmosphere and able to prioritize work and communicate challenges

5. Excellent verbal and written communication skills, able to interact with technical and non-technical team members with experience working with both local and remote teams

PREFERRED SKILLS:

Java and Swift or SwiftUI experience is preferred

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology