Quality Assurance_EMQA0120PS

The Store Manager – Apparel is responsible for overseeing all store operations, ensuring excellent customer service, driving sales performance, managing inventory, and leading a high-performing team to achieve business goals. The ideal candidate will combine strong leadership skills with retail expertise in the fashion/apparel industry.

Key Responsibilities

1. Store Operations

• Oversee daily store operations to ensure efficiency and compliance with company policies.
• Ensure the store meets visual merchandising standards and maintains an attractive, organized presentation.
• Manage cash handling, banking, loss prevention, and audit procedures.
• Ensure compliance with health, safety, and security policies.

2. Sales & Business Performance

• Drive sales to achieve or exceed monthly and annual targets.
• Monitor key performance indicators (KPIs) such as conversion rate, average transaction value (ATV), and customer retention.
• Analyze sales trends and optimize strategies accordingly.
• Implement promotions, campaigns, and pricing strategies.

3. Customer Experience

• Deliver exceptional customer service and resolve customer complaints or issues promptly.
• Train staff to provide product knowledge, styling advice, and personalized service.
• Foster a welcoming and engaging shopping environment.

4. Team Leadership & Development

• Recruit, onboard, and develop store staff.
• Coach, motivate, and lead the team to enhance performance and productivity.
• Conduct performance reviews, set goals, and manage staffing schedules.
• Encourage teamwork and accountability.

5. Inventory & Stock Management

• Ensure accurate stock levels and timely replenishment.
• Supervise receiving, stock processing, and inventory audits.
• Minimize shrinkage and manage stock integrity.

6. Reporting & Administration

• Prepare and submit reports on sales, stock, payroll, and store performance.
• Manage budgets and operational expenses.
• Coordinate with merchandising, HR, and regional teams.

Qualifications & Skills

Education:

• Bachelor’s degree in Business Administration, Retail Management, Fashion, or related field (preferred)

Experience:

• Minimum 3–5 years of retail experience, with at least 2 years in a supervisory or managerial role in apparel/fashion retail.

The Role:

We are looking for a Software Development Engineer (iOS) to join our Core Payments team at Razorpay. In this role, you will be responsible for developing and scaling our iOS SDK, the critical integration point used by thousands of merchants to process payments across multiple geographies.

You will work closely with product and backend engineering teams to design high-performance features, ensuring the SDK remains secure, lightweight, and developer-friendly. This role offers the opportunity to solve complex engineering challenges involved in building financial infrastructure that operates at massive scale.

Responsibilities:

• SDK Development: Contribute to the development of our native iOS SDK, ensuring high availability and seamless payment experiences for a diverse merchant base.
• Engineering Excellence: Write clean, maintainable, and modular code. Architect solutions that are resilient across different host app environments.
• Automation: Design and implement robust automation for tests, builds, and performance profiling. If a task is repetitive, you are expected to automate it.
• Instrumentation: Build deep telemetry within the SDK to provide real-time insights into success rates and latency, enabling data-driven product decisions.
• Security: Implement industry-standard security protocols, including SSL pinning and runtime integrity checks, to protect sensitive transaction data.

Mandatory Qualifications:

• 2+ years of experience in native iOS development using Swift.
• Systems Design: Solid understanding of OOPS principles and architectural patterns (e.g., MVVM, VIPER, or Clean Architecture).
• Cross-Platform Knowledge: Practical experience with bridge-based frameworks such as Flutter, React Native, or Cordova.
• Technical Depth: Strong proficiency in GCD, Swift Concurrency, and UIKit/SwiftUI lifecycles.
• Debugging: Proficiency in using Xcode Instruments for memory management, CPU profiling, and network debugging.

Good to Have:

• Android Stack Experience: Familiarity with Kotlin or Java is highly preferred to help maintain feature parity and align API design across platforms.
• Deployment & Tooling: Knowledge of CocoaPods, Swift Package Manager (SPM), or Fastlane for automated distribution.
• Open Source: Active contributions to GitHub or a portfolio of apps published on the App Store.

About the company:

At Inteliment, we help organizations turn data into powerful decisions. With two decades of proven expertise, we work with global customers to solve complex business problems using advanced data and analytics solutions. Our ACE – Analytical Centre of Excellence brings together some of the best minds in data engineering, analytics, and AI to build next-generation decision intelligence platforms. If you are passionate about data engineering, modern data platforms, and solving real business problems, this role will give you the opportunity to work on global enterprise data ecosystems. 

About the role

We are seeking a highly skilled Data Architect with strong hands-on expertise in Data Engineering and/or Data Visualization tools, having 6+ years of experience in the pure Data Analytics domain. The ideal candidate will be responsible for architecting scalable data solutions, guiding technical teams, and ensuring robust data pipelines, analytics frameworks, and visualization ecosystems aligned with business objectives. 

Requirements:

• Bachelor’s or master’s degree in computer sciences, Information Technology, or a related field.
• 6+ years of hands-on experience in Data Analytics domain.
• Strong experience in designing enterprise data solutions.
• Proven experience in handling large-scale data systems.
• Experience in client-facing roles is preferred. 
• Certifications with related field will be an added advantage

Technical Skills

✔ Data Engineering Stack

• Python / PySpark / SQL
• ETL Tools (e.g., Informatica, Talend, SSIS, or equivalent)
• Cloud Platforms (AWS / Azure / GCP)
• Data Warehousing (Snowflake, Redshift, BigQuery, etc.)
• Big Data Technologies (Spark, Hadoop – preferred)

✔ Visualization & BI Tools (At least one advanced tool mandatory)

• Power BI
• Tableau
• Qlik
• Looker or equivalent

✔ Database Technologies

• SQL (MySQL, PostgreSQL, SQL Server, Oracle)
• NoSQL (MongoDB, Cassandra – preferred)

✔ Additional Preferred Skills

• Data Modeling (Star/Snowflake schema)
• API integrations
• CI/CD for data pipelines
• Version control (Git)
• Agile methodology exposure

Soft Skills

• Leadership: Strong leadership and mentoring capabilities to guide technical teams.
• Communication: Excellent communication skills for collaborating with cross-functional teams and stakeholders.
• Problem-Solving: Analytical mindset with a keen attention to detail.
• Adaptability: Ability to manage shifting priorities and requirements effectively.
• Team Collaboration: Strong interpersonal skills for fostering a collaborative work environment.

Responsibilities:

✔ Solution Architecture & Design

• Design end-to-end data architecture solutions including data ingestion, transformation, storage, and visualization.
• Architect scalable and high-performance data pipelines.
• Define best practices, standards, and governance frameworks for data analytics projects.

✔ Data Engineering

• Build and optimize ETL/ELT pipelines.
• Work with structured and unstructured datasets.
• Design and implement data lakes, data warehouses, and modern data platforms.
• Ensure data quality, integrity, and performance tuning.

✔ Data Visualization & Analytics

• Architect and implement enterprise-level dashboards and reporting solutions.
• Define data models optimized for BI tools.
• Guide teams in building intuitive, performance-driven visualizations.
• Translate business requirements into scalable analytics solutions.

✔ Technical Leadership

• Provide technical direction to data engineers, BI developers, and analysts.
• Conduct code reviews and enforce architectural standards.
• Collaborate with cross-functional teams including business stakeholders and delivery teams.
• Mentor junior team members and drive capability building.

✔ Stakeholder Engagement

• Participate in client discussions, solution presentations, and requirement workshops.
• Provide effort estimations and solution proposals.
• Act as a technical escalation point. 

iNFX is a set of micro-services that (mainly) will run on our embedded Linux devices – our payment terminals and edge devices. The purpose is to provide key software building blocks for the things our customers need to do on their retail sites – like processing payments, integrating with devices on the forecourt (petrol dispensers, EV chargers, Tank gauges, price signs), running the workflow on payment terminals and providing for mobile payments & customer engagement. 

 The team we are looking for would be working on the C++ based microservices. Experience with payments processing would be very beneficial. 

While we ideally want C++ developers, it is important to note this is Application development rather than traditional “embedded” development. We want people who understand APIs, protocols, and ideally payments. Ideally having worked with Linux, although Kernel driver development experience is not so important. Neither is bare-metal / low-level firmware experience. The software is also intended to be portable to Windows environments - so experience in cross platform development is important. 

No need to target Assembler skills for the Application Engineer, good C++ & Linux Application development skillsets are important but experience in the payment domain is an truly an advantage some of payment domain experience/expertise would be - understanding of ISO8583 type messaging, payment transaction types, payment software development exposure, EMV understanding, Payments security and certification etc

We are looking for an experienced and dynamic HR Manager to join our team in Noida. The ideal candidate will have a proven track record in human resources, with a strong understanding of best practices, employment laws, and employee engagement strategies. The HR Manager will play a key role in developing and implementing HR initiatives that align with our company's goals and values. Responsibilities: • Develop and implement HR strategies and initiatives aligned with the overall business strategy • Manage the recruitment and selection process, including sourcing, interviewing, and onboarding new employees • Oversee performance management systems to ensure fair and consistent evaluations • Develop and monitor HR policies and procedures to ensure compliance with relevant laws and regulations • Handle employee relations, including conflict resolution, disciplinary actions, and grievance procedures • Plan and conduct employee training and development programs • Manage compensation and benefits programs, including salary benchmarking and employee benefits administration • Maintain employee records and ensure all HR systems are up to date • Foster a positive and inclusive work environment that promotes employee well-being and engagement • Stay updated on HR trends and best practices to continuously improve HR processes Requirements: • Bachelor's degree in Human Resources Management or a related field; Master's degree preferred • Proven work experience as an HR Manager or similar role, preferably in market research or related industry • In-depth knowledge of Indian labor law and HR best practices • Strong leadership and interpersonal skill

Dori AI enables enterprises with AI-powered video analytics to significantly increase human productivity and improve process compliance. We leverage a proprietary full-stack end-to-end computer vision and deep learning platform to rapidly build and deploy AI solutions for enterprises. The platform was built with enterprise considerations including time-to-value, time-to-market, security, and scalability across a range of use cases. Capture visual data across multiple sites, leverage AI + Computer Vision to gather key insights, and make decisions with actionable visual insights. Launch CV applications in a matter of weeks that are optimized for both cloud and edge deployments.

Job brief: Sr. Software Engineer/Software Engineer

All of our team members are expected to learn, learn, and learn! We are working on cutting-edge technologies and areas of artificial intelligence that have never been explored before. We are looking for motivated software engineers with strong coding skills that want to work on problems and challenges they have never worked on before. All of our team members wear multiple hats so you will be expected to simultaneously work on multiple aspects of the products we ship.

Responsibilities

• Participate heavily in the brainstorming of system architecture and feature design
• Interface with external customers and key stakeholders to understand and document design requirements
• Work cross-functionally with Engineering, Data Science, Product, UX, and Infrastructure teams
• Drive best coding practices across the company (i.e. documentation, code reviews, coding standards, etc)
• Perform security, legal, and license reviews of committed code
• Complete projects with little or no supervision from senior leadership

Required Qualifications

• Built and deployed customer-facing services and products at scale
• Developed unit and integration tests
• Worked on products where experimentation and data science are core to the development
• Experience with large-scale distributed systems that have thousands of microservices and manages millions of transactions per day
• Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles
• Must have at least 4+ years of experience in back-end web development with the following tools: Python, Flask, FastAPI, AWS or Azure, GCP, Java or C/C++, ORM, Mongo, Postgres, TimescaleD, CI/CD

Desired Experience/Skills

• You have a strong background in software development 
• Experience with the following tools: Google Cloud Platform, Objective C/Swift, Github, Docker
• Experience with open-source projects in a startup environment
• BS, MS, or Ph.D. in Computer Science, Software Engineering, Math, Electrical Engineering, or other STEM degree

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.
We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem-solving skills are essential for interpreting data.
We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.
Responsibilities:

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements:

• Proven experience as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine-learning and operations research

• Knowledge of SQL,Python,R,ggplot2, matplotlib, seaborn, Shiny, Dash; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks
• Analytical mind and business acumen
• Strong math skills in statistics, algebra
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BE in Computer Science, Engineering or relevant field;
• graduate degree in Data Science or other quantitative field is preferred