Company Name:- Pack Plannet Pvt. Ltd.
Position:- GM Sales
Industry: Craft & paper bag
Salary: 50k to 01 lacks CTC PM
Skills required: Domestic and Export Sales
1. Hiring for craft & paper bag industry. ( New company under Krish group )
2. Candidate should have 9-12 years of working experience in the craft & paper bag industry.
3. Should have knowledge of domestic and export sales.
4. Field sales operation handling experience.
5. Team Handling.

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About NonStop io Technologies
NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.
Brief Description:
We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.
Responsibilities
● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics
● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.
Qualifications & Skills
● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
● Proficiency in programming languages commonly used for AI/ML. Preferably Python
● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
● Strong understanding of machine learning algorithms, statistics, and data structures
● Experience with data preprocessing, data wrangling, and feature engineering
● Knowledge of deep learning architectures, neural networks, and transfer learning
● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders
Job Description :
Java Full Stack Developer (Java + Angular) We are solving complex technical problems in the financial industry and need talentedsoftware engineers to join our mission and be a part of a global software development team. As a Java Full Stack Developer, you will be responsible for designing, developing, and maintaining enterprise applications using Java and Angular. You will collaborate with cross-functional teams to define, design, and ship newfeatures, and you will work closely with Architects to ensure the technical feasibilityof designs and implement them accordingly.
Required Skills: Exp. - 4 to 9 years. Experience in Core Java 8 and above, Spring (including Core, Web Mvc, Batch, Cloud etc). Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be awareof enterprise application design patterns. Should be able to analyze, design, develop and test complex, low-latency clientfacing applications. Develop user interfaces for modern web applications using Angular.
🎓 We’re Hiring | Academic Counselor – EdTech Sales | Mumbai (Andheri E, MIDC)
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- Counsel students on career & course options
- Drive admissions through impactful conversations
- Be a part of a dynamic, growth-driven EdTech team
📍 Location: Andheri East, Mumbai
💰 Salary: ₹6–10 LPA
🧭 Experience: 1+ year in EdTech sales / student counseling
Be the reason someone starts their analytics journey today! 🚀
Duties
About Us:
We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.
Responsibilities:
Design, Build, and Deploy Scalable ML Models
You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.
Develop NLP-Based Automation Solutions
You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.
Prototype and Implement Generative AI Tools
Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.
Integrate ML Models with APIs and Tools
Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.
Maintain CI/CD for ML Features
Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.
Review, Debug, and Optimise Models
Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.
Cross-Team Communication
Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.
· Design, build, and deploy scalable ML and deep learning models for real-world applications.
· Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.
· Collaborate with AI researchers and developers to prototype and implement Generative AI tools.
· Integrate ML and Gen AI models with APIs and internal tools to support business operations.
· Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.
· Participate in code reviews, debugging, and performance optimisation of deployed models.
· Communicate technical concepts effectively across cross-functional teams.
Essentials From Day 1:
Security and Compliance:
• Ensure ML systems are built with GDPR compliance in mind.
• Adhere to RBAC policies and maintain secure handling of personal and property data.
Sandboxing and Risk Management:
• Use sandboxed environments for testing new ML features.
• Conduct basic risk analysis for model performance and data bias.
• Use sandboxed environments for testing and development.
• Evaluate and mitigate potential risks in model behavior and data pipelines
Qualifications:
· 1–2 years of professional experience in Machine Learning and Deep Learning projects.
· Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).
· Strong understanding of NLP and its real-world applications.
· Exposure to building scalable ML systems and deploying models into production.
· Basic working knowledge of Generative AI techniques and frameworks.
· Familiarity with CI/CD tools and experience with API-based integration.
· Excellent analytical thinking and debugging capabilities.
· Strong interpersonal and communication skills for effective team collaboration.
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Understanding of packaging requirement according to LZ |
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Packaging Drawing preparation |
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Packaging development from supplier |
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Carboard GSM finalization according to product |
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Type of Flute finalization (A+B+C etc.) |
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Packaging Paper finalization |
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Supplier Audit |
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Sample SIR close |
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Packaging quality control |
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Line / Drawing / IM / Artwork |
- Proven working experience in web programming.
- Top-notch Programming skills and in-depth knowledge of modern HTML5/CSS/jQuery.
- Familiarity with at least one of the following programming languages: PHP, ASP.NET, JavaScript.
- A solid understanding of how web applications work including security, session management, and best development practices.
- Adequate knowledge of relational database systems, Object Oriented Programming and web application development.
- Hands-on experience with network diagnostics, network analytics tools.
- Basic knowledge of the Search Engine Optimization process.
- Aggressive problem diagnosis and creative problem-solving skills.
- Strong organizational skills to juggle multiple tasks within the constraints of timelines and budgets with business acumen.
- Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web technologies and techniques.
- BCA/MCA/B.Tech/BSc in computer science or a related field
We are Quamtulum Ventures an upcoming, direct to consumer ecommerce startup based out of Bangalore.
We are looking for a full stack developer with experience in new age tech (HTML5/CSS, Javascript, ReactJS, NodeJS, Angular, Python etc) and the ability to scale and grow with the business. We are a team that is constantly exploring the possibilities of various business ideas/models, customer experience and tech. Hence when you join us, your ability to explore, learn and implement new stuff pretty much on a regular basis will be of paramount importance.
About Us
Punchh is the leader in customer loyalty, offer management, and AI solutions for offline and omni-channel merchants including restaurants, convenience stores, and retailers. Punchh brings the power of online to physical brands by delivering omni-channel experiences and personalization across the entire customer journey--from acquisition through loyalty and growth--to drive same store sales and customer lifetime value. Punchh uses best-in-class integrations to POS and other in-store systems such as WiFi, to deliver real-time SKU-level transaction visibility and offer provisioning for physical stores.
Punchh is growing exponentially, serves 200+ brands that encompass 91K+ stores globally. Punchh’s customers include the top convenience stores such as Casey’s General Stores, 25+ of the top 100 restaurant brands such as Papa John's, Little Caesars, Denny’s, Focus Brands (5 of 7 brands), and Yum! Brands (KFC, Pizza Hut, and Taco Bell), and retailers. For a multi-billion $ brand with 6K+ stores, Punchh drove a 3% lift in same-store sales within the first year. Punchh is powering loyalty programs for 135+ million consumers.
Punchh has raised $70 million from premier Silicon Valley investors including Sapphire Ventures and Adam Street Partners, has a seasoned leadership team with extensive experience in digital, marketing, CRM, and AI technologies as well as deep restaurant and retail industry expertise.
About the Role:
Punchh Tech India Pvt. is looking for a Senior Data Analyst – Business Insights to join our team. If you're excited to be part of a winning team, Punchh is a great place to grow your career.
This position is responsible for discovering the important trends among the complex data generated on Punchh platform, that have high business impact (influencing product features and roadmap). Creating hypotheses around these trends, validate them with statistical significance and make recommendations
Reporting to: Director, Analytics
Job Location: Jaipur
Experience Required: 4-6 years
What You’ll Do
- Take ownership of custom data analysis projects/requests and work closely with end users (both internal and external clients) to deliver the results
- Identify successful implementation/utilization of product features and contribute to the best-practices playbook for client facing teams (Customer Success)
- Strive towards building mini business intelligence products that add value to the client base
- Represent the company’s expertise in advanced analytics in a variety of media outlets such as client interactions, conferences, blogs, and interviews.
What You’ll Need
- Masters in business/behavioral economics/statistics with a strong interest in marketing technology
- Proven track record of at least 5 years uncovering business insights, especially related to Behavioral Economics and adding value to businesses
- Proficient in using the proper statistical and econometric approaches to establish the presence and strength of trends in data. Strong statistical knowledge is mandatory.
- Extensive prior exposure in causal inference studies, based on both longitudinal and latitudinal data.
- Excellent experience using Python (or R) to analyze data from extremely large or complex data sets
- Exceptional data querying skills (Snowflake/Redshift, Spark, Presto/Athena, to name a few)
- Ability to effectively articulate complex ideas in simple and effective presentations to diverse groups of stakeholders.
- Experience working with a visualization tool (preferably, but not restricted to Tableau)
- Domain expertise: extensive exposure to retail business, restaurant business or worked on loyalty programs and promotion/campaign effectiveness
- Should be self-organized and be able to proactively identify problems and propose solutions
- Gels well within and across teams, work with stakeholders from various functions such as Product, Customer Success, Implementations among others
- As the stakeholders on business side are based out of US, should be flexible to schedule meetings convenient to the West Coast timings
- Effective in working autonomously to get things done and taking the initiatives to anticipate needs of executive leadership
- Able and willing to relocate to Jaipur post pandemic.
Benefits:
- Medical Coverage, to keep you and your family healthy.
- Compensation that stacks up with other tech companies in your area.
- Paid vacation days and holidays to rest and relax.
- Healthy lunch provided daily to fuel you through your work.
- Opportunities for career growth and training support, including fun team building events.
- Flexibility and a comfortable work environment for you to feel your best.
Responsibilities
- Developing new features and user interfaces from wireframe models
- Ensuring the best performance and user experience of the application
- Fixing bugs and performance problems
- Writing clean, readable, and testable code
- Cooperating with back-end developers, designers, and the rest of the team to deliver well-architected and high-quality solutions
Qualifications
- Desire to work in a startup environment, able to self-manage and work remotely
- Must have built apps on Android and/or iOS apps with Flutter/ React Native/ Xamarin/ Ionic/cordova etc
- Proven working experience in software development
- Working experience in mobile development
- Have published one or more mobile apps in Google Play or App Store
- Experience with third-party libraries and APIs
- Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
- Solid understanding of the full mobile development life cycle, including automated testing and building
- Experience working in an agile development process
- Be proficient in using version control and continuous integration, with tools such as Git and Jenkins.
- Write clear, maintainable and testable code
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.












