Customer Care Executive

Strong Product / UI/UX Designer Profile

Mandatory (Total Experience): Must have 6+ years of professional experience in UI/UX or Product Design

Mandatory (Experience 1) – Leadership & Mentorship): Must have 2+ years of experience leading and mentoring design teams, including providing feedback, guiding workflows, and elevating junior designers’ capabilities

Mandatory (Experience 2) – Design Systems & Hands-On Skills): Must have strong hands-on experience with scalable design systems for web and mobile platforms and be highly proficient in Figma

Mandatory (Experience 3) – Client & Stakeholder Management): Must have direct client or stakeholder-facing experience, able to communicate design concepts persuasively and collaborate throughout the project lifecycle

Mandatory (Portfolio): Must have a strong, well-curated portfolio demonstrating end-to-end product design work, including user research, interaction design, visual design, and measurable impact on product outcomes

Mandatory (Communication Skills): Must have excellent communication and storytelling abilities to present complex design ideas clearly to clients, stakeholders, and teams

Mandatory(Education)- Must have Bachelor’s or Master’s in Design or equival

To us, a Technical Interviewer is a go-to person for technical interviews for any technology. This means that your duties will involve conducting technical interview rounds of candidates having a technical background of any kind.

The job of a Technical Interviewer is important to business success. Hiring the right talent is our most critical point and a vital aspect of a complete Technical Interviewer’s job description and specification.

• Own full technical recruitment process including interviews, feedback, and building talent pipelines
• Identify the right talent for the organization
• Train and mentor new and existing interviewers
• Identify the gaps in the interview process and work on solutions
• Maintain a healthy candidate experience and build the employer brand
• To be up to date with new technologies
• Participate in various coding and technology-related challenges to gain knowledge 
• Nurture a positive working environment
• Have a strong sense of ownership for assigned tasks and a willingness to go the extra mile when needed
• Is an effective communicator who can establish rapport with people at all levels

• Bachelor's Degree in BSc/BE/BTech in Computer Science, Engineering, or a related field
• General programming skills in languages like Java, Javascript, Ruby or equivalent.
• Proven working experience in the same profession or as a trainer 
• People-oriented and results-driven
• The ability to work as part of a team
• Strong analytical and problem-solving skills
• Excellent administrative and organizational skills
• Effective communication skills
• Proven hands-on Software Development experience

• Python knowledge: object-oriented programming: inheritance, abstract classes, dataclass, dependency injection, design patterns: comand-query, repository, adapter, hexagonal architecture, swagger/Open API, flask, connexion
• Experience on AWS services: lambda, ecs, sqs, s3, dynamodb, auroradb
• Experience with following libraries boto3, behave, pytest, moto, localstack, docker
• Basic knowledge about terraform, gitlab ci
• Experience with SQL DB

Job Description -

We are looking for a Quality Assurance Engineer with a Bachelor's in engineering, computer science, computer engineering, information technology, or a similar degree. Candidates should have experience in mobile application testing in Android/iOS platforms. As a Mobility QA Engineer, Will be responsible for creating and implementing a strategy for quality coordination and testing as well as suggesting solutions to identified quality problems in mobile application products.

Designation/Role Name: Software Test Engineer (Mobility)

Experience range: 1 to 5 years of experience

Responsibilities -

· Test current products and identify deficiencies

· Suggest solutions to identified product problems

· Investigate product quality in order to make improvements to achieve better customer satisfaction

· Plan, create and manage the overall Quality Planning strategy

· Collaborate with the Product Development team to ensure consistent project execution

· Identify quality assurance process bottleneck and suggest actions for improvement

· Oversee continuous improvement projects

· Collect quality data

· Identify key KPIs for product quality

· Prepare and present reports and metrics to Senior Management

· Capable of handling multiple tasks and projects in parallel with tight deadlines.

Skills/Expertise :

· Strong in software testing & QA concepts and test case writing with a break the system approach.

· Knowledge of bug tracking and project management tool JIRA.

· Working knowledge of mobile operating systems such as iOS and Android.

· Ability to test on different platforms,devices and cloud devices tools like Browserstack.

· Experience in developing automated test scripts in mobile app testing using tools like Appium and Selenium.

· Ability to develop test framework for mobile application testing using open source tools and technology.

· Scripting languages such as Java, python or Javascript.

· Experience in using configuration management or version control tools like GIT.

· Hands-on experience in Android Studio and xCode instrument for Android and iOS application error logs debugging and monitoring the memory leakage.

· Knowledge of identifying the API requests from the mobile clients using the Charles Proxy tool.

· Hands-on experience with IDEs like Eclipse , Android studio, IntelliJ IDEA.

· Knowledge of MYSQL and Database concepts for database testing.

Good to have :

· Experience in CI/CD tools like Jenkins will be an add-on.

· Knowledge of Codecept.js, Puppeteer test frameworks

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards