Business Development Associate

Job Title: Store Manager – Apparel Retail

Location: [Add Location]

Experience: 3–6 Years (Apparel / Fashion Retail preferred)

Industry: Retail / Fashion / Apparel

Job Summary

We are looking for an experienced Store Manager to lead day-to-day operations of our apparel store. The role involves driving sales, managing store staff, ensuring excellent customer experience, and maintaining visual merchandising standards while achieving business targets.

Key Responsibilities

• Manage overall store operations and ensure smooth daily functioning
• Drive store sales and achieve monthly/annual revenue targets
• Lead, train, and motivate sales associates to improve performance
• Ensure excellent customer service and handle customer escalations
• Maintain visual merchandising standards as per brand guidelines
• Monitor stock levels, inventory control, and replenishment planning
• Analyze sales reports, footfall, and conversion metrics
• Ensure compliance with company policies, SOPs, and audit standards
• Handle store expenses, cash management, and shrinkage control
• Coordinate with HO for promotions, new launches, and reporting

Required Skills & Qualifications

• Graduate in any discipline
• 3–6 years of experience as Store Manager / Assistant Store Manager in apparel retail
• Strong leadership and team-handling skills
• Good communication and customer interaction skills
• Sales-driven mindset with strong business acumen
• Knowledge of POS systems and retail MIS
• Ability to work in shifts and on weekends

Key Competencies

• Team Management
• Sales & Target Achievement
• Customer Relationship Management
• Inventory & Stock Control
• Visual Merchandising
• Retail Operations

Job Responsibilities

• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary

Requirements for the Job

1. Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges 

1. Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
2. Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)

1. Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
2. Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
3. Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Lead a team of software developers to deliver customer requirements,

on time, within budget while ensuring high level of quality.

● Tracking a project against schedules and taking corrective actions on

slippage. Escalation to the next level in case of slippage / likely slippage

in time or quality parameters.

● Manage the relationship with the client and relevant stakeholders

● Regular coordination with clients, internal resources and third

parties/vendors for the flawless execution of the project

● Ensure that all projects are delivered on-time, within scope and within

budget

● Assist in the definition of project scope and objectives, involving all

relevant internal stakeholders and ensuring technical feasibility

● Develop a detailed project plan to monitor and track progress

● Report and escalate to management as needed

● Perform risk management to minimize potential risks

• ● Prepare / review project documents such as FSD / FRD

• 2.5+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Experience in AWS.
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 2+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Online tutoring platform that focuses on connecting students with tutors and has a focus on live learning courses for Science, Technology, Engineering, the Arts and Mathematics (STEAM) subjects. It is a global online school for 21st century skills, teaching Coding and other extra-curriculars to kids age 5-18 via LIVE, interactive, gamified online sessions that work 10x better than status quo.

• 2+ years of experience on NodeJS & React JS
• Practical experience in building APIs
• Experience with RabbitMQ or similar queuing system
• Experience with Redis/ElasticSearch is a plus
• Familiarity with CI/CD pipeline tools like Jenkins
• Practical experience with Git
• A knack for benchmarking and optimization

As a Full Stack Developer, you will be working on the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end

• Participating in the full development life cycle, including implementing design, coding, testing, and production release
• creating modules and components in React and coupling them together into a functional app
• Understanding the nature of asynchronous programming and its quirks and workaround
• Integrating multiple data sources and databases into one system
• Creating database schemas that represent and support business processes
• Driving innovation through rapid prototyping and iterative development

Desired Candidate Profile

ENGINEERING MANAGER @REBEL FOODS

We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast.

The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods current presence in 7 countries (India, Indonesia, UAE, UK, Malaysia, Singapore, Bangladesh) with 15 + brands and 3500+ internet restaurants has been build on a simple system - The Rebel Operating Model.

While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core.

We urge you to refer to the below to understand how we are changing the restaurant industry before applying at Rebel Foods.

https://jaydeep-barman.medium.com/why-is-rebel-foods-hiring-super-talented-engineers-%20b88586223ebe" target="_blank">link 1

https://jaydeep-barman.medium.com/how-to-build-1000-restaurants-in-24-months-the-rebel-method-%20cb5b0cea4dc8" target="_blank">link 2

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db" target="_blank">link 3

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db" target="_blank">link 4

In order to understand more about the challenges that you might face at Rebel, it’s important that we go back to the inception and get acquainted about our journey to date. From the times when excel sheets served as our POS system at stores having one brand, to our evolution as a company that uses smart kitchens - we have traversed the phone, web, and app channels over time. From being a single brand restaurant, we moved to be a parent company with a dozen restaurant brands under the umbrella, while simultaneously moving our operations from a single kitchen to more than 300 locations across 30 cities in India and in a few international locations. The team of engineers at Rebel has built one of the most unique platforms in the world that can not only help operate a kitchen with multiple brands but also aids in operating business at scale. To give you additional perspective, the team has built more than 40+ products in the last 4.5 years. The innovation spans through technologies like polygon architecture (dynamic delivery radius) for a multi-brand operation from a kitchen, to managing each step of the kitchen ops — queuing, load/prep time, batching of orders, out of the door algorithms; inventory prediction based on consumption data, personal

recommendation engine, deep integration with every aggregator, last-mile delivery app, CRM systems, multiple brand websites and apps, reporting and analytics systems, and more. Everything that was mentioned has been built on a tech stack developed by our Engineers. This enabled us to tackle the massive complexity of a multi-brand operation while keeping all parts of the business supremely efficient and optimized.

We are now building Engineering 2.0 at our company. The vision is to make technology the Brain (AI, Machine Learning, analytics to drive every business decision of the company), the Body (robotics led automation at our Kitchens, driving tremendous operational efficiency), and the Mind ( building an AI/ ML-driven virtual personal butler for customers across app, web, and voice, like Netflix of food) at Rebel. This will mean working across technologies and product/engineering teams to build solutions that would be “first - time” in the world. Engineering @ Rebel will break new grounds.

An opportunity to revolutionize the restaurant industry

Here, at Rebel Foods, we are using technology and automation to disrupt the traditional food industry. We are focused on building an operating system for Cloud Kitchens - using the most innovative technologies - to provide the best food experiences for our customers.

You will enjoy working with us, if:

• You are passionate about solving customer problems using people, processes and technology
• You are an engineer at heart, obsessed with high quality software
• You have a flair for good technical and organizational design
• You are unafraid of making bold decisions to eliminate inefficiencies and improving the velocity of software development
• You are an owner and take responsibility for outputs and outcomes
• You are willing to dive deep to solve complex software issues
• You are a teacher and mentor

Our technology ecosystem:

• Languages: Java, Typescript, Javascript, Ruby
• Frameworks and environments: Spring Boot, NodeJS, ExpressJS
• Databases: AWS Aurora MySQL, MongoDB
• Cloud: AWS
• Microservices, Service Oriented Architecture, REST APIs, Caching, Messaging, Logging, Monitoring and Alerting
• CI/CD and DevOps
• Bitbucket, Jira

You will mostly spend time on the following:

• Leading a team of software engineers; owning and developing the roadmap to support your long term vision for the services and conducting tactical execution at the same time
• Hiring, mentoring and coaching your direct reports to be the best they can be, both in their current roles and in their careers
• Liaising with product, business and leadership teams to ensure business priorities are met
• Continuously improving management and engineering processes. Planning, estimating projects and tasks and ensuring software development best practices are being followed
• Working closely with engineers on day to day activities, including writing, reviewing and troubleshooting code
• Owning services, and managing ongoing features, fixes, and daily operations of services
• Teaching and mentoring team members

We’re excited about you if you have:

• At least 15 years of experience in software development, including experience building microservices and distributed systems
• Built and led high performing engineering teams
• Experience working with complex, high traffic, and consumer facing distributed platforms
• Proven engineering knowledge and experience
• The ability to operate at a managerial level as well as diving deep and getting your hands dirty when required
• Experience in establishing software development processes and practices; A track record of good project planning and execution
• Good communication skills, both in person and via the keyboard
• Made decisions that impacted technical design, development and planning for one or more projects / programs that impacted multiple teams or functions.
• Good programming skills in one or more languages: Java, Typescript, Javascript, C#, C++, Python or Ruby
• Experience working in Cloud environments: AWS or Azure or GCP
• Experience building secure, configurable, observable services
• Excellent troubleshooting and problem-solving skills
• The ability to mentor and teach junior and senior engineers
• The ability to collaborate effectively within and across engineering, product and business teams