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About the Role
We are looking for a highly motivated Demand Forecasting Analyst with hands-on experience in building, improving, and managing demand forecasting models for retail businesses. The candidate will play a key role in leveraging data-driven forecasting techniques to optimize inventory, improve supply chain efficiency, and enhance business decision-making.
The role requires strong business understanding of retail operations, combined with technical expertise in AWS cloud services, forecasting techniques, and stakeholder communications.
Key Responsibilities
- Develop, implement, and maintain demand forecasting models tailored to retail business needs.
- Analyze historical sales data, seasonal patterns, promotions, and external market factors to improve forecast accuracy.
- Collaborate with cross-functional teams (merchandising, supply chain, finance) to understand business requirements and translate them into forecasting solutions.
- Leverage AWS services (Amazon Forecast, S3, Lambda, Glue, Redshift, QuickSight, SageMaker, etc.) for data preparation, modelling, deployment, and reporting.
- Continuously monitor forecast performance and refine models to reduce forecast error (MAPE, WAPE, etc.).
- Provide actionable insights and recommendations to stakeholders for inventory management, pricing, and demand planning.
- Create dashboards and reports to track key forecasting KPIs for business teams.
Required Qualifications
- 1–2 years of experience in demand forecasting within retail (FMCG, e-commerce, fashion, or grocery retail preferred).
- Strong understanding of retail demand drivers such as seasonality, promotions, new product launches, and external factors.
- Hands-on experience with AWS services such as:
- Amazon Forecast for building forecasting models.
- Amazon S3, Glue, Redshift for data storage and ETL.
- Amazon SageMaker for model customization and fine-tuning.
- Amazon QuickSight for reporting and dashboards.
- Proficiency in Python for data analysis and modelling.
- Familiarity with forecasting methods (ARIMA, DeepAR, Prophet, ML-based forecasting, regression, etc.).
- Strong analytical skills with the ability to interpret data and provide business insights.
- Excellent communication and presentation skills to interact with both technical and non-technical stakeholders.
Good to Have
- Experience with time-series modelling in retail.
- Knowledge of inventory optimization and supply chain planning.
Why Join Us?
- Opportunity to work on cutting-edge demand forecasting projects in the retail domain.
- Leverage AWS cloud-native solutions for scalable, real-world impact.
- Collaborate with business and technology leaders to shape retail strategy.
- Fast-paced, growth-oriented environment with career development opportunities.
Job Description
We are looking for a reliable Administration Executive. He will undertake administrative tasks, ensuring the rest of the staff has adequate support to work efficiently. The ideal candidate will be competent in prioritizing and working with little supervision. The administration executive will ensure smooth running of our company’s office.
Key Responsibilities:
- Admin & daily office facility work
- Ordering Office supplies (stationery, pantry and other inventory)
- Maintenance & repair of Assets/Laptops
- Bills & payment records.
- Supervision & Staffing of the office.
- Tracking budget expenses.
Desired Candidate Profile:
- Good verbal and written communication skills.
- Technical bent of mind to isolate a problem quickly.
- Have proven experience in the same domain.
- Proficient with Microsoft Office, Excel software and phone systems.
Education-
Education: Any Graduate
- Implementing Environment solutions for projects in a dynamic corporate environment
- Communicating and collaborating with project and technical teams on Environment requirements, delivery and support
- Delivering and Maintaining Environment Management Plans, Bookings, Access Details and Schedules for Projects
- Working with Environment Team on Technical Environment Delivery Solutions
- Troubleshooting, managing and tracking Environment Incidents & Service Requests in conjunction with technical teams and external partners via the service management tool
- Leadership support in the North Sydney office
- Mentoring, guiding and leading other team
- Creation of new test environments
- Provisioning infrastructure and platform
- Test data provisioning (privatization, traceability, ETL, segregation)
- Endpoint integration
- Monitoring the test environment
- Updating/deleting outdated test-environments and their details
- Investigation of test environment issues and at times, co- ordination till its resolution
Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
Vision: Client aims to change the way that customers, creators, and retail investors interact and transact at brands of all shapes and sizes. Essentially, becoming the Web3 version of brands driven social ecommerce & investment platform. We have two broader development phases to achieve our mission.
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
● Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team
● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
● Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
● Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
● Ensuring scaled database setup/montioring with near zero downtime
Key Skills:
● Hands-on software development experience in Python, NodeJS, or Java
● 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
● 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
● Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,
Dynatrace, Nagios, etc.
● Hands-on experience with AWS Cloud – EC2, S3 Buckets, RDS
● Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,
Ansible, Chef, Puppet) and Version control tools
● Hands-on experience with configuration management (Chef/Ansible)
● Experience in designing High Availability infrastructure and planning for Disaster Recovery
solutions
● Knowledgeable in networking and security Familiar with GCP services (in Databases, Containers,
Compute, stores, etc) with comfort in GCP serverless technologies
● Exposure to Linkerd, Helm charts, and Ambassador is mandatory
● Experience with Big Data on GCP BigQuery, Pub/Sub, Dataproc, and Dataflow is plus
● Experience with Groovy and writing Jenkinsfile
● Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
● Experience with message buses (e.g. Apache Kafka, NATS)
Regards
Team Merito
- Increase production, assets capacity and flexibility while minimizing unnecessary costs and maintaining current quality standards
- Be responsible for production output, product quality and on-time shipping
- Allocate resources effectively and fully utilize assets to produce optimal results
- Implement strategies in alignment with strategic initiatives and provide a clear sense of direction and focus
- Monitor operations and trigger corrective actions
- Share a trusting relationship with workgroup and recruit, manage and develop plant staff
- Collect and analyze data to find places of waste or overtime
- Commit to plant safety procedures
- Develop systems and processes that track and optimize productivity and standards, metrics and performance targets to ensure effective return on assets
- Address employees- issues or grievances and administer collective bargaining agreements
- Influence and learn from below
- Stay up to date with latest production management best practices and concepts



WE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE ENGINEER-ML DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
- Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
- Career Progression: Senior ML Engineer, ML Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Advanced Machine Learning: TensorFlow, Keras
- Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
- Experience with OOPs and design patterns
- Exposure to RDBMS/NoSQL
- Test Driven Development Methodology
Good to Have
- Working in cloud-native environments (preferably Azure)
- Microservices
- Enterprise Design Patterns
- Microservices Architecture
- Distributed Systems



WE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE Full Stack Engineer DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, design and develop web applications and SPA’s i.e., UI/UX, and underlying backend – API’s, security framework, scalable microservices etc.
- Daily Grind: Interface with the product manager, project managers, and the engineering team to achieve sprint goals on the product roadmap.
- Career Progression: Senior Full Stack Engineer, Technical Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Angular/React, Strong UI/UX skills
- Very strong python background, TDD, CI/CD,
- Software design skills i.e., OOPs, design patterns
- SQL, NoSQL – design of schemas and databases
- Microservices architecture, Cloud native apps
Good to Have
- Enterprise Design Patterns
- Distributed Systems
- Exposure to ML and Data Science
- Docker, Kubernetes, AKS, Kafka, Graph databases
Connecting with Farmers
Connecting to grama panchayt and have brief about company profiles
Onboarding to the retailers
Help in installing app for retailers

Hi dear Applicant,
Hiring for Multiple MNC Bpo’s, One day interview process, just 2 rounds of interview
Openings :
Customer Support : Voice & Non-voice
-
Health Care
-
Accounts Receivable
-
Medical Billing
-
Insurance
-
Banking / collections
-
Accounts & Finance
Technical Support : Voice & Non-voice
-
Technical Trouble Shooting
-
Hardware and Networking
-
IT Help Desk
-
Desktop Support
-
Technical Chat / Email Support
-
Application Support (Voice)
-
IT Trouble Shooting
Benefits :
-
Day / UK / US Rotational Shifts
-
15k to 35K Take home
-
Two way Transport
-
Unlimited incentive Structure
-
No registration Fees
Skills Required :
-
Should be flexible with rotational Shifts
-
Manageable or Good English Communication Skills
-
Graduates / PUC / Diploma fresher or Experience in BPO (0-8yrs) can apply
-
Candidates with Graduation Backlogs can apply.
Documents Required :
Fresher :
-
10th / 12th / Graduation all semester Marks card
-
Aadhar Card ID proof
-
Pan Cad ID
Experience :
-
Previous Companies Offer letter / relieving letter / one month pay slips
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10th / 12th / Graduation all semester Marks card
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Aadhar Card ID proof
-
Pan Cad ID
*************PLEASE DO REFER YOUR FRIENDS*************

