
Job Title: Exhibition Stall Designer
Experience Required: 2+ years Location: Marol, Andheri East, Mumbai
Employment Type: Full-time
About Us: We’re a fast-growing branding and marketing agency that works with emerging businesses and established brands alike. Our work goes beyond ads - we shape identities, build recall, and create campaigns that are as strategic as they are creative.
About the Role: We’re looking for a creative and talented Exhibition Stall Designer who can visualize and execute compelling, brand-aligned stall designs for trade shows, expos, and events. You’ll collaborate closely with marketing, production, and fabrication teams to bring concepts to life - from 3D render to final execution on-site.
Key Responsibilities:
● Conceptualize innovative, brand-specific stall designs for exhibitions and events.
● Create detailed 2D layouts, 3D designs, and renders using tools like SketchUp, 3ds Max, AutoCAD, or similar.
● Work within client briefs, budgets, and timelines to deliver creative yet practical solutions.
● Collaborate with project managers, production teams, and fabricators to ensure technical feasibility.
● Make mood boards, material references, and visual storytelling decks to present to clients.
● Adapt designs based on feedback while maintaining visual impact and functionality.
● Stay up to date with the latest trends in exhibition design and materials.
Requirements:
● Degree/Diploma in Interior Design, Exhibition Design, or related field.
● Proficiency in design software: SketchUp, 3Ds Max/V-Ray, AutoCAD, Adobe Creative Suite (especially Photoshop & Illustrator).
● Strong visualization, spatial planning, and presentation skills.
● Excellent understanding of materials, fabrication processes, and on-site limitations.
● Ability to manage multiple projects under tight deadlines.
● Attention to detail and a strong sense of aesthetics.
● Prior experience in exhibition or experiential design is a must.
Nice to have:
● Experience working with international brands or large-format exhibitions.
● Understanding of branding and customer experience in physical spaces.
Selection Process:
Telephonic Round
Technical Test + Personal Interview
Working Hrs.: 10.00 a.m. to 7.00 p.m. [Monday - Friday and Alternate Saturdays]
If Anyone interested then apply through Link:- https://tiny.cc/NGtalent

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Review Criteria
- Strong Data Scientist/Machine Learnings/ AI Engineer Profile
- 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
- Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
- Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
- Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
- Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
- Preferred (Company) – Must be from product companies
Job Specific Criteria
- CV Attachment is mandatory
- What's your current company?
- Which use cases you have hands on experience?
- Are you ok for Mumbai location (if candidate is from outside Mumbai)?
- Reason for change (if candidate has been in current company for less than 1 year)?
- Reason for hike (if greater than 25%)?
Role & Responsibilities
- Partner with Product to spot high-leverage ML opportunities tied to business metrics.
- Wrangle large structured and unstructured datasets; build reliable features and data contracts.
- Build and ship models to:
- Enhance customer experiences and personalization
- Boost revenue via pricing/discount optimization
- Power user-to-user discovery and ranking (matchmaking at scale)
- Detect and block fraud/risk in real time
- Score conversion/churn/acceptance propensity for targeted actions
- Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
- Design and run A/B tests with guardrails.
- Build monitoring for model/data drift and business KPIs
Ideal Candidate
- 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
- Proven, hands-on success in at least two (preferably 3–4) of the following:
- Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
- Fraud/risk detection (severe class imbalance, PR-AUC)
- Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
- Propensity models (payment/churn)
- Programming: strong Python and SQL; solid git, Docker, CI/CD.
- Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
- ML breadth: recommender systems, NLP or user profiling, anomaly detection.
- Communication: clear storytelling with data; can align stakeholders and drive decisions.
Responsibilities
- To Co-ordinate with regional teams and collect the required data
- Knowledge of advanced MS Excel, Presentation is a must
- Candidate must be able to handle large data sets and handle spreadsheets.
- Good at analyzing the data & Presentation
- Coordination with the team for timely submission of reports, tracking progress
- Understand the reporting model infrastructure and implement streamlined process solutions toward a more efficient reporting model.
- Preparation and analysis of daily, weekly, and monthly reports of different functions and summarizing the same
- Must be able to Generate/Update Reports, Create dashboards, Pivot tables
- Monthly/ Quarterly reconciliations and data cleansing to ensure the integrity of reported numbers.
- Review and investigate trends and provide commentary for management.
- Finding discrepancies in the process and arriving at a resolution
Eligibility
- Proven experience in MIS
- Ability to be self-motivated and self-directed and think and act independently while also being team oriented
- Good follow-up skills, the ability to understand, adaptability to process changes, and a strong sense of importance and ownership
- Good in numbers (Mathematics)
- Good in Excel
- Good communication skills
Personal skills:
Strong interpersonal and team working skills
Self-motivated that is able to work with minimal supervision
Demonstrate strong analytical and problem-solving skills
Ability to communicate effectively at all levels Strong attention to detail
Job description:
Job Description – Manager / Senior Manager – Marketplaces
Company: Indian retail sweet and snacks brand
Location: Lawrence Road Industrial Area, Delhi
Work Mode: Hybrid
Experience: 5+ years
Relevant Experience: Minimum 4+ years managing marketplaces such as Amazon, Flipkart, Quick Commerce platforms, etc.
Work Schedule: 5 Days WFO
About the Company
It is a fast-growing Indian retail sweet and snacks brand focused on nostalgic, homemade-style products with a strong emphasis on clean labelling, healthier alternatives, and authentic storytelling.
Our long-term vision is ambitious, to build a brand that achieves what traditional legacy brands accomplished over decades, but at a much faster pace.
Role Overview
- The Manager / Senior Manager – Marketplaces will be responsible for owning and scaling the brand’s presence across online marketplaces.
- This role will lead revenue growth, visibility, and profitability across platforms such as Amazon, Flipkart, and quick commerce channels.
- The role requires strong hands-on expertise in marketplace operations, performance marketing, promotions, and category growth.
- The individual will work closely with founders, supply chain, marketing, finance, and operations teams to drive sustainable marketplace performance.
Key Responsibilities
- Own end-to-end marketplace performance including product listings, revenue, margins, and growth targets.
- Manage day-to-day operations across Amazon, Flipkart, and quick commerce platforms.
- Drive visibility through search optimization, catalog management, and platform-led growth levers.
- Plan and execute promotions, deals, and seasonal campaigns in coordination with platform teams.
- Manage marketplace advertising, budgeting, and ROI optimization.
- Track sales performance, pricing, inventory health, and demand forecasting.
- Coordinate with supply chain and operations teams to ensure smooth fulfilment and inventory availability.
- Analyze marketplace data and consumer insights to improve conversion, ratings, and repeat purchases.
- Build and maintain strong relationships with marketplace account managers and platform stakeholders.
Desired Skills & Qualifications
- Minimum 5+ years of overall experience in e-commerce or digital sales.
- At least 4+ years of hands-on experience managing marketplaces such as Amazon, Flipkart, and quick commerce platforms.
- Strong understanding of marketplace algorithms, ads, promotions, and category management.
- Experience scaling brands on marketplaces in FMCG, D2C, or consumer goods categories preferred.
- Strong analytical skills with the ability to interpret performance data and drive actionable insights.
- Ability to work in fast-paced, high-growth environments with high ownership.
- Strong stakeholder management and communication skills.
Why Join Us
- Be part of building a ₹1000 Cr consumer brand from the ground up
- Opportunity to work closely with founders and leadership
- Long-term wealth creation through ESOP participation
- High ownership, high impact role in a fast-scaling organization
Job Designation: Software Developer - Full Stack
Job Location: Bangalore
- Understand and identify requirements
- Design
- Coding
- Unit Tests
- Documentation
- Must have 1-4 years of experience as Full Stack Developer
Company Description
Denken Solutions Inc. provides Staffing Services (IT, Engineering, and Healthcare), SAP Solutions, and Digital Transformation Services. The company is located in Hyderabad.
Role Description
This is a full-time on-site role for a Healthcare Recruiter. The Healthcare Recruiter will be responsible for staffing healthcare professionals, conducting interviews, building relationships with clients, and providing excellent customer service.
Location: Hyderabad/ Noida
Timing: 8:30 pm - 5:30 am
Qualifications
- 1+ Experience in Healthcare Staffing and Recruiting
- Experience in Hiring and Interviewing healthcare professionals
- work on positions like RN, CN, LPN etc along with the allied positions.
- Excellent Customer Service and Communication skills
- Ability to build strong relationships with clients
- Knowledge of Healthcare regulations and compliance
- Bachelor's degree in Human Resources, Business Administration, Healthcare or related field
- Experience working in the Healthcare industry or staffing agency is a plus
Your Roles and Responsibilities:
Business Development is a critical aspect of our platform business.
1. Actively seeking out new sales opportunities through cold calling, networking, and social media.
2. Calling 65-70 leads every day
3. Setting up meetings with potential clients (parents)
4. Generating Trial Classes - Pitch Parents to take PlanetSpark Trial Classes
5. Negotiate/close deals and handle complaints or objections
6. Follow and achieve the department’s sales goals on a monthly, quarterly, and yearly basis (3L revenue per month)
7. “Go the extra mile” to drive sales
Java, Java8, Springboot, Microservices, core java, j2ee, JAVA, Springboot
backend, core java, java8, micro services
- Ensure all tech projects are delivered on time and are profitable
- Work with Account Managers to understand project requirements
- Analyse, plan and develop requirements and standards in reference to the projects
- Assign and oversee the daily tasks of technical team while ensuring each person on the team is actively working toward established milestones
- Hold daily technical team meetings to determine progress and address any questions or challenges regarding projects
- Hold regular retrospectives to identify the positives and negatives of a project, and establish what the tech team can take forward from this
- Determine and define clear deliverables, roles and responsibilities for team members required for specific projects or initiatives
- Establish and implement training processes and strategies for the technical team with support from the L&D team and CTO
- Be part of the recruitment and training of exceptional employees to fulfil posted positions within the tech team
- Update and maintain all production technologies ensuring proper maintenance and installation
Qualifications
- A bachelor's degree in information technology, software development management, software engineering, computer science, or a related field.
- Strong credentials in software development and troubleshooting
- Demonstrated understanding of the software development lifecycle and Project Management processes, strategies and methods
- Experience in mentoring, coaching and developing rising talent in the technology department
- Excellent time management and organizational skills and experience establishing guidelines in these areas for others
- Strong sense of personal accountability regarding decision-making and supervising department teams
- Experience working in a high-level collaborative environment and promoting teamwork
- Experience in applying analytical thinking and problem-solving skills for project management
- Ability to predict challenges and seek to proactively head-off obstacles
- Professional Project Management Certification is an added advantage
As a PM Tech, you will work closely with:
- CTO
- Development team
- Account Managers
Field Sales Representative - AWS Sales Singapore/SEA
Who we are?
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning and advanced cloud technologies such as Anthos by Google Cloud and AWS Sagemaker just to name a few. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud.
Your bucket of undertakings
Responsibilities:
1. Execute business development plans to ensure that opportunity creation and pipeline goals are met and exceeded while working against KPIs and metrics.
2. Source, identify, and qualify opportunities within potential customers:
Prospect new opportunities using a combination of phone, email, social media, and direct mail to help build our sales pipeline by connecting with prospective customers, understanding their unique needs, identifying the best way to position Searce Inc and her value propositions, evaluate if there is a good fit, schedule meetings and bring prospects to successful sales closure.
3. Collaborate and nurture strategic engagement with Sales and Marketing for outbound messaging and demand generation programs.
4. Source and be able to organize large contact data sets. Use data to identify key target prospects.
5. Work closely with Amazon Web Services on target account lists and find creative ways to break into competitive accounts. Your relationships with customers are crucial in helping Searce futurify businesses and bringing our product portfolio into companies both big and small around the world.
6. Follow up and track closely to assigned targets while ensuring that integrity and bringing positive business outcomes to the clients are not compromised.
So, what are we hunting for ?
● 8-10 years of technology sales and business development experience, particularly within the AWS ecosystem.
● Experience managing and developing a pipeline of qualified leads and opportunities within software, SaaS, Analytics, BPM or IT products or her related services.
● Understanding or previous experience working within the Public Cloud ecosystem (Amazon Web Services, Google Cloud Platform, etc. - and their related services) is required.
● Consistent record of meeting and exceeding sales targets.
● Highly effective verbal and written communication skills in English.
● True passion for sales and technology.
● Self-starter with tons of energy, passion, humor, and enthusiasm.
● Critical problem-solving skills to handle customer questions and overcome objections.
● A great sense of humor and enjoys having fun with colleagues.
● Passionate, persuasive and able to articulate the value of the Cloud Ecosystem to instill a sense of interest and credibility for Searce and oneself.
● Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
● Strong service attitude and a commitment to quality.
● Highly organized and efficient with strong work ethics
● Confident working with others to inspire a high-quality standard
Education, Experience, etc.
1. Is Education overrated? Yes. We believe so.
a. However there is no way to locate you otherwise. So we might look for a graduate degree in engineering with a sales mindset or you started your business at 12 and sold it post high school. And the latter is better. We will find you faster if you specify the latter in some manner. :)
2. Comfortable working in an all-hands start-up environment - owning a project, wearing many hats to get the job done, attention to detail and strong follow-through.
3. Strong work ethic, track record of high productivity and sales achievement.
How do we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.
Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
Innovative: Innovate or Die. We love to challenge the status quo.
Experimental: We encourage curiosity & making mistakes.
Responsible: Driven. Self motivated. Self governing teams. We own it.
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are met
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Exploring and visualizing data to gain an understanding of it, then identifying
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Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production









