11+ PCR Jobs in India
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Sr. Manager / Manager – Sales (PCR / EPR)
📍 Location: Surat | 🏢 Department: EPR/PCR
About the Role
We are seeking an experienced and dynamic Sales Professional to drive business development and partnerships in the sustainability domain. The role focuses on Post-Consumer Recycled (PCR) plastics and Extended Producer Responsibility (EPR) compliance solutions, engaging with leading FMCG, packaging, textiles, and manufacturing companies.
Key Responsibilities
🔹 Identify and acquire new B2B clients across FMCG, consumer goods, packaging, textiles, and industrial sectors.
🔹 Drive sales of PCR plastics and sustainable packaging solutions.
🔹 Develop pricing strategies, negotiate contracts, and achieve sales & margin targets.
🔹 Build and expand partnerships for EPR compliance services (collection, recycling, documentation).
🔹 Support clients in meeting EPR targets with end-to-end solutions (collection, recycling, certification, reporting).
🔹 Develop and execute marketing & branding campaigns to promote sustainable solutions.
🔹 Represent the company at trade shows, industry forums, and sustainability events.
🔹 Track market trends, competitor activity, and regulatory changes to identify opportunities.
Qualifications & Experience
✅ Graduate in Business, Marketing, Environmental Sciences, or Engineering (MBA preferred).
✅ 5–10 years of sales/marketing experience in recycling, plastics, packaging, or sustainability sectors.
✅ Strong knowledge of EPR regulations, PCR plastics, and compliance frameworks.
✅ Proven track record of achieving sales targets and building corporate relationships.
Skills Required
✨ B2B sales, negotiation & relationship management
✨ Knowledge of plastic recycling technologies & sustainable materials
✨ Strong understanding of EPR rules & compliance
✨ Digital marketing, CRM tools & data analytics proficiency
✨ Excellent communication, presentation & networking skills
Role: Visual/Graphic Designer
Rite KnowledgeLabs is hiring a Graphic Designer to create visually compelling brand and marketing designs for top MNCs and Indian brands.
This full-time, onsite role in Mumbai is ideal for someone with a strong aesthetic sense, a passion for design, and the ability to translate ideas into impactful visuals. You’ll design for both digital and print media, craft brand stories through graphics, and collaborate closely with the content and digital teams to bring concepts to life.
If you’re ready to create work that blends creativity with strategy, apply now!
Key Responsibilities
- Create designs for digital campaigns, social media, presentations, brochures, infographics, and marketing collateral.
- Develop creative concepts and visual assets that align with brand guidelines and project objectives.
- Translate business and content strategies into visually engaging stories.
- Collaborate with the content, marketing, and web design teams to ensure design consistency.
- Adapt and optimize designs for multiple formats (web, social, print).
- Present design ideas and rationales to internal teams and clients.
Key Requirements
- Design Expertise: Strong portfolio in graphic design, including digital creatives, print materials, branding, and marketing communication.
- Technical Skills: Proficient in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and tools like Canva or Figma (added advantage).
- Creative Proficiency: Solid grasp of color theory, typography, layout design, illustration, and visual hierarchy.
- Adaptability: Ability to design for diverse formats — from social media graphics to corporate presentations.
- Attention to Detail: Keen eye for aesthetics, balance, and brand alignment.
Qualifications
- Educational Background: Bachelor’s degree/diploma in Graphic Design, Visual Arts, Commercial Art, Fine Arts, or a related field from a reputed design school.
- Professional Experience: 0–3 years of experience in graphic design for digital and/or print media.
- Freshers with a strong design portfolio are welcome.
Compensation
Competitive, as per industry standards.
About Rite Knowledgelabs
Rite KnowledgeLabs is a content-first, full-service digital agency trusted by leading global and local corporations. We specialize in building and amplifying corporate and brand reputations through thought leadership-driven digital assets. Our focus on strategy and genuine storytelling ensures impactful execution and long-term client success.
📍Location – Mumbai, Work From Office, Monday to Friday, 9.30 to 6.30pm
Job Title : Content Writer (Web3 / Blockchain / Crypto)
Experience : 3+ Years
Location : Noida
Working Days : Monday to Friday + Saturday WFH
About the Role :
We are looking for a content writer with strong expertise in Web3, Blockchain, and Crypto to create impactful content including whitepapers, blogs, articles, and research reports.
The role requires the ability to simplify complex blockchain concepts, craft compelling narratives, and produce content for both technical and non-technical audiences.
Mandatory Skills :
Whitepaper Writing, Blockchain/Web3/Crypto Expertise, Tokenomics, Technical & Marketing Content Creation.
Key Responsibilities :
- Write whitepapers covering vision, technical framework, tokenomics, roadmap, and market analysis.
- Create SEO-friendly blogs, articles, and website content on blockchain, DeFi, NFTs, DAOs, and crypto trends.
- Collaborate with tech and marketing teams to ensure accurate and engaging content.
- Research and stay updated on Web3 and crypto ecosystems.
Required Skills :
- Proven experience in writing whitepapers and long-form blockchain content.
- Strong knowledge of Web3, Blockchain, Crypto, DeFi, NFTs, and Tokenomics.
- Ability to translate complex technical concepts into simple narratives.
- Excellent research, grammar, and editing skills.
- Familiarity with SEO and crypto community content (Twitter/X, Discord, Telegram) is a plus.
Why Join Us :
- Work on cutting-edge blockchain projects.
- Exposure to global Web3 markets.
- Competitive salary & growth opportunities.
About the Role
We are seeking a highly skilled and motivated Senior Backend Developer with strong expertise in Node.js and AWS to join our dynamic team. The ideal candidate will have solid backend development experience, with additional working knowledge of PHP and Python. Exposure to frontend frameworks like React.js and Angular will be considered a strong advantage.
Key Responsibilities
• Design, develop, and maintain scalable backend systems and APIs using Node.js.
• Deploy, manage, and optimize applications on AWS cloud infrastructure.
• Collaborate with cross-functional teams (frontend, product, QA) to deliver end-to-end solutions.
• Ensure application performance, security, and scalability.
• Write clean, maintainable, and testable code following industry best practices.
• Work with databases (SQL/NoSQL) to design efficient data models and queries.
• Integrate third-party services and APIs when required.
• Contribute to code reviews, technical discussions, and mentoring of junior developers.
• Support continuous integration and deployment pipelines.
• Troubleshoot, debug, and optimize existing applications.
Requirements
• 4+ years of backend development experience.
• Strong expertise in Node.js and hands-on experience with AWS services (EC2, S3, Lambda, etc.).
• Good working knowledge of PHP and Python.
• Strong understanding of RESTful API design, microservices architecture, and databases (MySQL, PostgreSQL, or MongoDB).
• Working knowledge of React.js and Angular is preferred.
About the company:
Our client is a start-up organization founded in 2014 by experienced professionals and is now in its 22nd year of serving global customers after merging with 4Cplus. They specialise in Management Consulting, Technology Services, and Business Transformation Outsourcing, committed to providing their customers with exceptional experiences.
About the role:
Responsibilities:
- Extensive experience in configuring and customising SAP HR and HCM modules, including Personnel Administration, Organizational Management, Time Management, and Payroll.
- Demonstrated ability to analyse and optimize HR processes, leveraging SAP HR, and HCM.
- In-depth knowledge of data migration and integration between SAP HR, HCM, and Third Party Systems, ensuring seamless data flow and accurate reporting.
- Experience in managing and resolving complex HR system issues, leveraging SAP HR, HCM
- Requirement analysis and interaction with customers to resolve the queries/questions to their best satisfaction.
- Carrying out customization changes as and when required.
- Continuously upgrade the system with the latest “Support Pack” releases from SAP and update the notes released by SAP.
- Interacting with technical/ cross-functional consultants for successful resolution of an issue.
- Risk assessment of the changes.
- Defining Functional Specifications for new developments and maintaining the documents related to the change in the system.
- Drafting and executing the test cases and testing the new developments/ configurations across development and quality environments in the R/3 system.
- Conducting End User training concerning SAP HR as & when required
- Amendment AD Hoc Fields for reporting purposes.
- Worked on ESS/MSS module which includes, configuring Country specific ESS/MSS Portal, Resolving Issues arising in User portal, Worked on Fiori Launchpad testing, Customization of ESS/MSS link with help of Web Dynpro Component and Logic building to help ABAP Team on development.
- Configuration of LSMW as per the requirement including Time Management, OM/PA Modules.
- Configuring complex Work Schedule Rule Request
- Worked on 3 end to end SAP implementation
- Worked on support and rollout experience in the HCM PA / OM module
- Having a Good understanding of the SAP HCM business process
- Customizing SAP application as per client requirement.
- Experience in writing complex Time & Payroll PCR’s
- Issues related to Indian Payroll and time management.
- Written PCR on various scenarios in Time Management & Indian Payroll
- Helping to maximise the use of SAP within the business.
- Defining potential improvements to processes and systems that can lead to enhancements.
- Defining security profiles.
- Assisting in the project management of IT HR application projects.
- Implementing Payroll solutions.
- UAT and Regression testing- completion and script writing.
- Advising colleagues on SAP HR/PY matters.
- Providing business consultancy within the HR business Process sector.
- Liaising with third-party SAP technicians, and stakeholders (both internally and externally).
- Responsible for the investigation and resolution of problems on a day-to-day basis.
Experience & Skill:
- Years of Experience: 5 – 8 in SAP HCM
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Should have experience of client-facing roles
- Should have excellent communication skills
We are seeking a qualified HR Associate in regard to selling cars and bike service products that our customers have grown to rely on. We are a growing platform and are required to target customers by hiring more sales executives on daily basis.
Candidates with good Accounting knowledge, Ms Excel skills, English communication skills, good learning skills, below 30 Yrs age, residing in Kolkata, and want to grow rapidly, Those who are not from an Accounting background, please don't apply.
Experience: 3.5 - 5 years
Description :
- Very good experience in design and development on UI front end Technologies.
- Minimum 3+ Years of web application development using HTML 5, CSS3, Bootstrap, JavaScript.
- Experience in development of Angular 2/4/6.
- Expertise in Responsive web design, HTML5, and CSS pre-processors SASS and LESS
- Good in UML, OOPS, design principles and patterns, architectural trends and data modeling.
- Strong in JavaScript (object oriented concepts) & JavaScript optimization
- Experience on JavaScript frameworks such as AngularJS, ReactJS, NodeJS etc.
- Ability to convert Wireframes in to UI design
- Good designing capabilities using Bootstrap framework, SEO and using strategies for cross-platform design initiatives with a 360-degree digital design
- Strong experience with debugging skills and fixing Cross Browser Compatibility issues and Optimization for web by using best practices
- Good Communication
- Good knowledge of quality standards and best practice
With the ever-increasing demand in the educational industry, our client acts as an ed-tech platform that provides various interdisciplinary courses, in turn providing critical future skills.
They follow a curriculum that is collated globally and has been developed by industry experts. Some of the programmes offered by them include Artificial Intelligence, iOS App Development, Robotics, Augmented & Virtual Reality (AR/VR), etc. Benefits of their platform include online accessibility 24*7, live & practical application, programmes for every age group, etc.
Headquartered in Gurugram, our client was founded by a veteran entrepreneur who is an alumnus of Harvard Business School.
As a Sales Head B2B, you will be responsible for leading the targets towards attaining that goal, tracking and reporting critical performance indicator data for your team.
What you will do:
- Rolling out new sales initiatives, targeted pitches, and modified sales approach depending on the nature of the business you are approaching
- Implementing the required sales training processes for your sales associates, preparing them for their responsibilities most effectively and efficiently possible
- Delivering pitches to critical clients and other key accounts in your zone yourself
- Being abreast of the latest developments in the space and implementing strategic/ tactical plans if needed
- Mapping the market on product/ competition and the onboarding of customers when they enter the company
- Actively approaching targeted business clients (telephone, email, social networks, events, etc.)
- Searching for new client leads
- Managing relationships with existing customers
- Creating and maintaining a database of current and potential customers
- Explaining and demonstrating features of products and services
- Upselling products and services
Desired Candidate Profile
What you need to have:- MBA from tier 1 B School
- Proficiency in Microsoft Office [Word, Excel and PowerPoint] and CRM software [Zoho CRM]
- Prior experience in B2B sales desired
- Excellent communication skills, both verbal and written
- Good organizational skills and the ability to multitask
- Excellent phone and cold calling skills
- Ability to build and maintain solid and lasting business relationships with colleagues and clients alike
- Ability to work with aggressive targets and think of out-of-the-box solutions when in a deadlock
- Demonstrated ability to maintain a high level of enthusiasm and motivation
- Aspiration to be the best in the business with your every action
- Very good connects with B grade Schools for Edtech product sales
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
•Solid experience in creating wireframes, storyboards, user flows, process flows and site maps





