
unbox, Quality check, Pack, Dispatch
Baby furniture Comapny
HunyHuny is a brand which deals in baby & maternity products. HunyHuny is recognised by startup India in the year 2020. We are dedicated to providing a comprehensive omnichannel experience through our expansive mother and baby store, currently established in Delhi NCR, Hyderabad, Pune,and very soon in other cities as well.
We are here to help you ease all your worries and cover all your requirements from pregnancy to postpartum till your baby is a confident young child past his/her toddler days.
What makes us different from other brands is affordability while maintaining the quality. Our products are of International standards with materials manufactured and imported from various Countries.

About HUNYHUNY
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We have an Urgent & high-priority global opening with a leading consulting organization in Qatar. Immediate interview slots available. We are looking for a Senior Data & AI Consultant with strong Azure expertise to work in a highly client-facing consulting role.
🔹 Quick Role Overview
- Role: Senior Data & AI Consultant
- Location: Doha, Qatar (Onsite)
- Employment Type: Full-time
- Travel: GCC travel required
- Experience Required: 8+ years
- Domain: Data Strategy, Data Engineering, AI/ML, Consulting
- Industry Exposure: Public Sector, BFSI, Oil & Gas, Government, Healthcare, Utilities
📌 Role Summary
The Senior Data & AI Consultant will play a critical role in driving enterprise Data & AI transformations across clients. This role blends data strategy, architecture, engineering, governance, and AI/ML delivery with strong consulting, stakeholder management, and pre-sales responsibilities.
You will work closely with CXOs, business leaders, and technical teams to design scalable Azure-based data platforms, develop advanced analytics and AI solutions, and guide organizations on responsible AI adoption.
🎯 Key Responsibilities
1. Data Strategy & Advisory
- Develop enterprise-wide Data & AI strategies and transformation roadmaps
- Perform data maturity assessments and define improvement plans
- Lead CXO-level workshops aligning business goals with Data & AI initiatives
- Guide clients on responsible and ethical AI practices
2. Data Architecture & Engineering
- Design scalable data platforms on Microsoft Azure
- Architect and implement batch and real-time pipelines using ADF, Synapse, Databricks, Event Hubs
- Build enterprise data models and modern lakehouse architectures
- Implement data quality, metadata, and lineage solutions using Azure Purview
- Partner with AI teams to ensure data readiness for ML/AI use cases
3. AI & Advanced Analytics
- Lead end-to-end AI/ML solution development using Azure ML, OpenAI, Cognitive Services
- Build ML and Generative AI solutions (LLMs, RAG, prompt engineering)
- Implement MLOps practices (CI/CD, deployment, monitoring, governance)
- Ensure Responsible AI – explainability, fairness, and compliance
- Collaborate across the full AI lifecycle: data sourcing → modeling → deployment
4. Consulting, Pre-Sales & Leadership
- Lead client workshops, PoCs, demos, and discovery sessions
- Support proposal development and solution architecture design
- Contribute to thought leadership (blogs, whitepapers, events)
- Mentor junior consultants and ensure delivery excellence
🧠 Desired Skills & Competencies
✅ Must-Have
- 8+ years of experience across Data, Analytics, and/or AI roles
- Strong hands-on experience in the Azure ecosystem
- Proven consulting and client-facing experience
- Exposure to at least one specialization:
- Data Management
- Data Governance
- AI/ML Engineering
🔧 Technical Expertise (Any one or more areas)
A. Data Management
- Azure Data Factory, Synapse, Data Lake, Databricks, Event Hubs
- Strong SQL, Python, Spark
- Data modeling, ETL/ELT, data quality frameworks
- Exposure to Microsoft Fabric / Airflow / Kafka
B. Data Governance & Strategy
- Knowledge of DAMA-DMBOK, CMMI-DMM
- Experience with Informatica (Axon, IDQ, EDC, IDMC)
- Governance operating models, stewardship, privacy frameworks
C. AI/ML Engineering
- Python, TensorFlow, PyTorch, Scikit-learn, Azure ML
- Generative AI, LLMs, RAG pipelines
- Experience in at least 3 domains: NLP, CV, predictive modeling, recommender systems, anomaly detection
- Strong MLOps exposure
🤝 Consulting & Leadership Skills
- Excellent stakeholder and CXO communication
- Strong problem-solving and business translation skills
- Workshop facilitation, proposal writing, client presentations
- Mentoring and technical leadership capabilities
🎓 Education & Certifications
Required Qualification:
- BCA / B.Sc. (Computer Science) / B.E. / B.Tech
- MCA / M.E. / M.Tech
Job Description:
To lead virtual meetings with potential clients to determine technical and business requirements and ensure that all necessary information is collated prior to producing a solution. Should be able to lead requirement discussion calls with potential clients about their web and mobile application development needs.
Responsible for the requirement gathering with potential clients to elicit business and functional requirements.
Apply standard business analysis techniques to develop quality requirements for inclusion in BRD/FRD/SRS. Develop an understanding of the business applications supported as well as the business directions.
Collaborate effectively with development functions to provide cost and time assessment of the requirements.
Should be able to create proposals and Statement Of Work, clearly documenting the client requirements and budgetary information.
Should be open to work in extended IST hours.
Problem solver, self-driven and be able to work as an individual contributor as well if required. Desired Candidate Profile:
4-6 years of strong experience working as a Business Analyst or Presales consultant in the web and mobile application domain.
Knowledge of web and mobile application development technologies
Familiar with agile principles and other software development processes and concepts.
Strong verbal and written communication skills.
B-Tech/MBA/BCA Equivalent as educational qualification.
Location- Noida (Work from Office)
What your day job looks like at GroupM:
- Develop strong relationships with counterparts in GroupM regional teams (Europe, U.S., Asia)
- Support the training and growth of your team
- Enforce retail/ecomm. best practices with a focus on platform expertise, consistency, and quality of work delivery
- Be accountable for consistent work delivery to GroupM regional teams by ensuring a high quality of output
- Serve as point of escalation for your team and take ownership of resolving any issue
- Provide career development and coaching for your team
- Line manage 2-5 direct reports
- Provide timely and actionable feedback to the team to aid in their development, improvement, and progress. Provide awareness and recognition for jobs well done
- Present strong and effective communication across all levels
What you’ll bring:
- You are proficient in English
- You have 5+ year experience of planning and managing retail Search campaigns
- You have a high-level knowledge of retail Search platforms and third-party tools (Google Merchant Centre (Shopping Campaigns), Helium10, AMS, Kroger, Walmart, Pacvue, Instacart)
- You have expertise of handling online portal sellers on multi-channel, multi-platform model
- You have a strong hold on feed creation, feed management, Listing of products on all platforms, maintaining hygiene across all portals
- You possess strong analytical skills and a natural affinity for numbers to optimize for results
- You can examine raw data, draw conclusions and develop actionable recommendations as needed
- You have experience maintaining quality standards at scale
- You have experience providing service to local teams from a centralized location
- You have a passion for everything digital, with an active interest and understanding of online advertising industry trends
- You have excellent communication skills, both verbal and written
- You are proficient in Microsoft Excel and Google Sheets
Business Development Representatives (BDRs) are focused on generating and qualifying leads through LinkedIn and other channels. Their main goal is to use these platforms to create connections with potential clients and identify opportunities for the sales team.
Roles and Responsibilities:
1. Lead Identification: Utilizing LinkedIn (especially tools like LinkedIn Sales Navigator) to identify and connect with potential leads that match the target profile.
2. Initial Outreach: Engaging with leads through personalized LinkedIn messages,
comments, InMails, calling, and sending emails, creating interest in the
company's products or services.
3. Qualifying Leads: Assessing the needs and interest levels of the leads, determining if they are a fit for what the company is offering.
4. Scheduling Appointments: Setting up meetings or calls between qualified leads and the sales team, ensuring a smooth handover.
5. Collaboration with Sales and Marketing: Working closely with the Sales Manager and marketing team to align outreach efforts with overall campaign strategy.
6. Monitoring and Reporting: Tracking interactions, responses, and success rates within LinkedIn and reporting these metrics to the Sales Manager.
7. Maintaining Professionalism: Representing the brand in a professional manner, adhering to LinkedIn's guidelines, and maintaining the quality of interactions.
8. Content Engagement: Sharing, liking, and commenting on relevant content to increase visibility and engage with the community within the target market.
9. Utilizing Supporting Tools: If using additional tools like CRM or other integrations, maintaining accurate records and ensuring data integrity.
Skills Required:
- Proficiency in using LinkedIn, especially LinkedIn Sales Navigator.
- Excellent communication and interpersonal skills, including phone and email etiquette.
- Ability to analyze profiles and identify potential leads.
- Self-motivated and goal-oriented approach.
- Understanding of the company’s products or services.
About the Role: LOOKING FOR QA ENGINEERS(ONLY FROM SAAS-BASED COMPANIES)
You will help the team in building an awesome testing platform that can be leveraged by QA for testing the product for quality & stability.
You should have hands-on software development experience to design and implement test automation infrastructure. You will have to implement test automation systems and provide seamless integration with DevOps infrastructure. You should have strong interpersonal and communication skills.
Location = Mumbai
Responsibilities:
Implementation of test automation for Web Interface and Mobile Applications
Implement functional and non-functional API Testing or integration testing
Carry out Load testing and Performance testing as required
Integration of test suite and testing tools with DevOps Infrastructure and CI/CD pipelines
Assist the QA team to be able to diagnose the test case failures
Follow agile test methodology for timely delivery of test case automation
Manage the upkeep of existing Automation Regression suite based on changes
Requirements:
Bachelor's degree in Computer Science, Information Technology or related field
0 to 1 year of relevant experience in the testing domain
Self-driven with the ability to work independently and carry out assignments as required.
Knowledge of Selenium or Appium framework with JAVA is a must-have
Programming ability in JAVA
Exposure to API testing, load testing, system integration will be a big plus
Experience in working on Linux/Unix OS and cloud environment such as AWS
• Involved in code development and implementing database changes and design pattern.
• Good code reviews and code debugging skills.
• Design, Development, Programming, Maintaining and customizing solutions to meet customer’s specific needs.
• Product Development is added advantage.
Job Description:
- Strong in Vue.js or React.js, HTML, HTML5, DOM(Document Object Model) concepts
- Must know Nuxt.JS a Vue Framework.
- CSS3, SASS, SCSS, Bootstrap 4, Webpack, Box Modelling, Grid System
- Responsive Design, Cross browser/device development
- Strong knowledge of JavaScript
- OOJS - Object-oriented JavaScript
- NPM/YARN Representation
- REST API knowledge
- Modular programming, Use of NPM Components







