Business Development Executive

Job Overview

As a Profile Data Setup Analyst, you will play a key role in configuring, analysing, and managing product

data for our customers. You will work closely with internal teams and clients to ensure accurate,

optimized, and timely data setup in Windowmaker software. This role is perfect for someone who

enjoys problem-solving, working with data, and continuously learning.

Key Responsibilities

• Understand customer product configurations and translate them into structured data using

Windowmaker Software.

• Set up and modify profile data including reinforcements, glazing, and accessories, aligned with customer-specific rules and industry practices.

• Analyse data, identify inconsistencies, and ensure high-quality output that supports accurate quoting and manufacturing.

• Collaborate with cross-functional teams (Sales, Software Development, Support) to deliver complete and tested data setups on time.

• Provide training, guidance, and documentation to internal teams and customers as needed.

• Continuously look for process improvements and contribute to knowledge-sharing across the team.

• Support escalated customer cases related to data accuracy or configuration issues.

• Ensure timely delivery of all assigned tasks while maintaining high standards of quality and attention to detail.

Required Qualifications

• 3–5 years of experience in a data-centric role.

• Bachelor’s degree in engineering e.g Computer Science, or a related technical field.

• Experience with product data structures and product lifecycle.

• Strong analytical skills with a keen eye for data accuracy and patterns.

• Ability to break down complex product information into structured data elements.

• Eagerness to learn industry domain knowledge and software capabilities.

• Hands-on experience with Excel, SQL, or other data tools.

• Ability to manage priorities and meet deadlines in a fast-paced environment.

• Excellent written and verbal communication skills.

• A collaborative, growth-oriented mindset.

Nice to Have

• Prior exposure to ERP/CPQ/Manufacturing systems is a plus.

• Knowledge of the window and door (fenestration) industry is an added advantage.

Why Join Us

• Be part of a global product company with a solid industry reputation.

• Work on impactful projects that directly influence customer success.

• Collaborate with a talented, friendly, and supportive team.

• Learn, grow, and make a difference in the digital transformation of the fenestration industry.

To manage the overall operations and sales performance of the interior design and home décor store. The Stores Sales Manager is responsible for achieving sales targets, ensuring excellent customer experience, supervising the design consultants and sales team, and maintaining the brand’s premium standards in store presentation and service.

Key Responsibilities:

1. Sales & Revenue Management

• Achieve monthly and quarterly sales targets for the store.
• Drive conversion rates by ensuring strong customer engagement and effective product presentation.
• Monitor sales trends and customer preferences to suggest improvements in product mix and display.
• Implement promotional campaigns and sales strategies to boost revenue.

2. Team Leadership & Performance

• Supervise, train, and motivate the sales and design consultant team to deliver high-quality service.
• Conduct daily briefings and set individual sales goals.
• Monitor staff performance and provide regular feedback and coaching.
• Ensure proper shift scheduling and adequate manpower coverage.

3. Customer Experience & Service Excellence

• Ensure every customer receives professional interior design consultation and personalized service.
• Handle escalations or special client requests efficiently.
• Maintain client relationships for repeat and referral business.
• Oversee post-sales follow-ups, installation coordination, and satisfaction feedback.

4. Store Operations & Visual Merchandising

• Maintain store ambience, layout, and visual display standards as per brand guidelines.
• Ensure accurate stock management and inventory control.
• Coordinate with logistics and warehouse teams for product deliveries and replenishments.
• Ensure store cleanliness, safety, and maintenance compliance.

5. Reporting & Coordination

• Prepare daily, weekly, and monthly sales reports.
• Track key performance metrics (footfall, conversion, average ticket size, etc.).
• Collaborate with marketing, design, and operations teams for smooth execution of campaigns and projects.
• Provide feedback to management on market trends, competitor activity, and customer insights.

Qualifications & Experience:

• Bachelor’s degree in Business Administration, Interior Design, Marketing, or related field.
• 5–8 years of retail sales experience, preferably in interior design, home décor, furniture, or luxury retail.
• Proven experience in managing store teams and achieving sales targets.
• Strong understanding of interior design products and customer consultation process.

Key Skills Required:

• Excellent communication and interpersonal skills.
• Strong leadership and team management abilities.
• Customer-centric mindset with focus on quality service.
• Sales-driven and result-oriented approach.
• Good knowledge of visual merchandising and store operations.
• Proficiency in MS Office and CRM software.

Performance Indicators (KPIs):

• Monthly sales achievement vs. target.
• Conversion rate and average ticket value.
• Customer satisfaction and feedback ratings.
• Store presentation audit score.
• Employee productivity and retention.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

BeBetta is a social sports betting platform based in India, redefining the way fans engage with sports. BeBetta offers a gamified sports betting experience, allowing users to bet on live matches, challenge friends, and win rewards—all without spending real money. Our platform is designed to foster a passionate community of sports enthusiasts, enhancing the excitement of every game.

Summary:

Are you a sports fan eager to break into the exciting sports engagement space? As an Intermediate Android Developer at BeBetta, you'll gain invaluable experience building a rapidly growing app that's changing the way fans experience their favorite games.

Responsibilities:

• Implement new features and enhancements, working closely with senior team members.

• Collaborate across design, product, and engineering teams to create intuitive and engaging user experiences.

• Proactively identify and resolve performance bottlenecks and code issues.

• Stay up-to-date on emerging Android development trends and technologies.

Qualifications:

• 2+ years of experience developing Android apps using Kotlin and Java.

• Solid understanding of Android UI frameworks, layouts, and best practices.

• Experience with RESTful APIs and data handling.

• Familiarity with version control systems (preferably Git)

• A keen interest in sports and a desire to build fan-centric features.

We are looking for a Customer Care Specialist who will be entrusted the following responsibilities

*Handle Customers Inbound And Outbound Calls.

* Solving day to day queries of parents and school admin .

* Explaining them About Products / Offers / Services as and when required

*Creating social media posts/contents and will be an integral part of the Digital Marketing team

Will be posted in a premiere school in Gurgaon who happens to be our client.

Qualifications : Graduate

Excellent English communication skills Verbal and Written

Technical Skill :

Requirements:

• Overall experience in the field of Information risk and security related initiatives/ projects.
• Experience in the areas of Infrastructure Security Audit, IT Security, Vulnerability Assessment, Risk Assessment, Web Application Security, Network Security Review, Network Architecture Review, Mobile Application Security Testing, Configuration Review, Source Code Review, Wireless Pentest, Process Review etc.
• Ability to understand business concepts and integrate business risk elements into security operations.
• Experience in conducting VAPT.
• Experience with web application vulnerability scanning tools (e.g., IBM AppScan, HP Web inspect, Acunetix, NTO Spider, BurpSuite Pro).
• Strong ethics and understanding of ethics in business and information security.
• Should have exposure to Code review, Network VA/PT and App VA/PT work.
• Understanding and familiarity with common code review methods and standards.
• Experience with code scanning toolsets such as Fortify and Ounce.
• Understanding of HTTP and web programming.
• Knowledge of OWASP tools and methodologies, common security requirements within ASP.NET application, standard SDLC practices.
• Knowledge of Network Security technology in areas of Firewall, IPS, VPN, Gateway security solutions (proxy, web filtering).
• In-depth understanding on Common Vulnerability Exposure (CVE)/ Cert advisory database.