QA Manual - 5 Openings

We are looking for a stylish, customer-focused Fashion Consultant to join our retail team. The ideal candidate will have a strong sense of fashion, excellent interpersonal skills, and the ability to drive sales by providing a personalized shopping experience.

🔹 Key Responsibilities:

• Assist customers in selecting apparel based on their style, preferences, and body type
• Provide styling advice and product recommendations
• Maintain visual merchandising standards on the shop floor
• Achieve individual and store sales targets
• Manage stock replenishment and assist in inventory checks
• Build long-term customer relationships through excellent service

🔹 Requirements:

• 1–2 years of retail sales experience (fashion/apparel preferred)
• Strong fashion sense and product knowledge
• Excellent communication and customer service skills
• Well-groomed with a professional appearance

Job Summary:

We're seeking a highly organized and detail-oriented Back Office Executive / Sales Support to join our team. You'll provide administrative support, manage data, and maintain dispatch.

Key Responsibilities:

- Project Processing: Manage orders, track project timetables, and enhance teamwork

- Finance and Accounting: Create invoices, manage accounts

- Administrative Support: Provide support to front-office staff, manage documents, and maintain records

Requirements:

- Education: Bachelor's degree

- Experience: 0-3 years in back office, dispatch coordination, operation support, or sales support

- Skills:

  - Technical: MS Office, Excel, SO/PO management, dispatch management, quotation preparation, and client coordination

  - Soft: Excellent communication, organizational, and analytical skills

What We Offer:

-

- Benefits: Paid sick time, paid time off, provident fund

- Work Environment: Office-based

Python Backend Developer (5+ years experience)

We are seeking an experienced Python Backend Developer with at least 5 years of hands-on experience in Python and Django development. The ideal candidate will have a strong background in MySQL and MongoDB databases, as well as knowledge of HTML, CSS, JavaScript frameworks, and cloud technologies like AWS, Azure or Google Cloud.Key Responsibilities:

• Design and develop scalable, high-performance Python applications using the Django framework
• Write clean, maintainable, and well-documented code
• Optimize database queries and schema design for improved performance
• Integrate applications with various APIs and third-party services
• Collaborate with cross-functional teams to gather requirements and deliver solutions
• Participate in code reviews, testing, and deployment processes
• Continuously learn and stay updated with the latest technologies and best practices

Required Skills and Experience:

• Bachelor's or Master's degree in Computer Science, Information Technology or a related field
• 5+ years of professional experience in Python and Django development
• Proficient in MySQL and MongoDB databases, with the ability to write complex queries and optimize database performance
• Hands-on experience with HTML, CSS, and at least one JavaScript framework (e.g., React, Angular, Vue.js)
• Knowledge of cloud technologies like AWS, Azure, or Google Cloud is preferred
• Strong problem-solving and algorithmic skills
• Excellent communication and teamwork skills
• Passion for continuous learning and innovation

Preferred Qualifications:

• Experience in developing and deploying applications on cloud platforms
• Knowledge of containerization technologies like Docker and Kubernetes added advantages

Requirements:

·  Candidates must have substantial applicable IT experience, extensive development, programming experience in Core Java, J2ee, Spring, Spring Boot, Hibernate, Webservices using Restful, any DB (Oracle, PostgreSQL, SQL server).

·  Preferably the candidate must have worked in development projects and must have experience in Java / J2ee design patterns.

·  Experience in AWS, Azure will be an added advantage.

·  Candidate must have good experience in Agile methodology.

• Role/Level: AR Analyst- Process Analyst (PA)/ Sr Process Analyst(SPA)
• Notice period: Immediate joiners preferred (do not submit profiles who’s salary expectation if above 4.6 LPA fixed)
• Experience: 1+ years(for PA)/2+ years (for SPA)
• Location- Bangalore, Bannerghatta Road, Arekere gate & Chennai
• Must have:

Accounts receivable, AR calling, Denial management.

Process: Voice.

• Write copy for a variety of media including social, print, video, and online
• Edit and proof work to ensure high editorial standards are met across all content outputs
• Collaborate with creative, product, marketing, and legal to assess project needs and help with messaging
• Drive brand consistency across all company communications
• Develop and implement brand guidelines
• Stay current on trends and competitors within the editorial sphere
• See projects through the whole creative lifestyle, from inception to deployment
• Strong creative thinking skills and ability to think conceptually
• Comfortable working independently with little direction under tight deadlines
• Excellent writing, editing, and proofreading skills with a diligent eye for detail, language, flow, and grammar
• Proven ability to demonstrate brand voice
• Strong attention to detail
• Excellent portfolio of work

Responsibilities-

• Deliver technical strategies and solutions, application development, and end-users services
• Lead projects to implement new or enhance existing functionalities including articulating requirements and translating them into effective technical solutions
• Build and maintain strong relationships and partnerships with team members across globe and customer stakeholders
• Work collaboratively as a team player to develop mutually acceptable solutions, and act as a mentor to the team
• Solve problems and provide support, taking responsibility to make decisions when appropriate
• Effectively communicate with team members and customers, Be able to articulate technology to a non-technical audience
• Build relationships with technical team members in all offices
• Track and manage dependencies across lines of business and platforms, Maintain technical risks register with mitigations
• Create or maintain architectural artifacts like architectural overview, architectural decisions, integrations diagram, non-functional requirements
• Collaborate with other technical team members and create a forum for sharing knowledge
• Come up with innovative ideas to improve quality in delivery
• Deploy, administer and support Microservices components in a RedHat OpenShift environment
• Should be hands-on and be ready to write complex code while mentoring junior developers to learn
• Thrive in a fast-paced and dynamic work environment and lead by example

• 15-20 years experience working on projects utilizing: Java, Web Development/REST (preferably with Spring), Linux, JUnit, Mocking, Maven, JavaScript, GIT
• Experience in the following areas are preferred – Microservices, Spring Boot, Spring Security with OAuth2, SOAP and SOAP UI, Jenkins configuration, AngularJS, RedHat PaaS (RHEL, Kubernetes, OpenShift, Camel, Fuse)
• Well versed in front end and back end development
• Good understanding of encryption technology
• Knowledge of infrastructure especially cloud infrastructure is desirable
• Should be conversant with DevOps methodologies
• At least 3 years of experience as a technical lead – coaching, presenting architectural/design elements to customers and team members
• Should possess strong problem solving and analytical skills
• Should have experience reviewing code for team members and etching out a concrete code quality plan
• Should have at least two years of experience working on projects using Test Driven Development (TDD)
• Should have 2+ years of experience using JUnit on projects
• Consistent incorporation of best practices and standards while coding; in particular: secure coding practices
• Good Exposure to building secure and scalable applications
• At least 4+ years handling customers directly should have presented architecture artifacts and technical solutions to customers and influenced customers
• Excellent communication (verbal and written) and interpersonal skills – should be able to influence customer stakeholders and senior management
• Team player and ability to work proactively, provide mentorship and directions to the team and making technical decisions independently

• BE/MCA or equivalent area
• 15-20 years of software industry experience

Responsibilities:

• Exploring and visualizing 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.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.