11+ Sewing Jobs in India

Job Title: Senior Sofa Maker

Location: Gurgaon

Department: Upholstery / Furniture Manufacturing

Reports To: Production Manager or Head of Manufacturing

Job Summary:

We are seeking an experienced and highly skilled Senior Sofa Maker to join our team. The ideal candidate will have in-depth knowledge of sofa frame construction, upholstery, fabric cutting, and finishing. This role involves leading production processes, mentoring junior team members, and ensuring that all sofas are built to the highest standards of quality and craftsmanship.

Key Responsibilities:

• Construct high-quality sofas from frame to finish, including cutting, assembly, padding, and upholstery.
• Read and interpret technical drawings, patterns, and measurements with precision.
• Select appropriate materials such as wood, foam, springs, and fabric/leather for each sofa model.
• Supervise and guide junior sofa makers and apprentices.
• Inspect finished products for quality, ensuring they meet company standards and client specifications.
• Collaborate with design and production teams to develop and improve sofa designs.
• Maintain tools, equipment, and workspace to ensure a safe and efficient working environment.
• Troubleshoot production issues and propose solutions for continuous improvement.

Requirements:

• Minimum 3–5 years of hands-on experience in sofa or upholstery manufacturing.
• Exceptional craftsmanship and attention to detail.
• Proficiency with upholstery tools and equipment (staple guns, sewing machines, foam cutters, etc.).
• Strong understanding of different sofa construction methods and materials.
• Ability to lift heavy materials and work on your feet for extended periods.
• Team player with strong communication and leadership skills.
• High school diploma or equivalent; formal training in furniture making or upholstery is a plus.

Preferred Qualities:

• Experience in bespoke or custom sofa making.
• Familiarity with both traditional and modern upholstery techniques.
• Passion for quality craftsmanship and customer satisfaction.

Job Type: Full Time.

Job Summary:

Solution Arcitect:

We are looking for four highly skilled AWS-certified Solution Architects who can lead projects independently and provide technical leadership. The ideal candidates should have a strong hands-on background in React, Node.js, JavaScript, and AWS AppSync, along with expertise in designing and implementing scalable cloud-based solutions.

Key Responsibilities:

• Lead the architecture, design, and implementation of cloud-based applications on AWS.

• Provide technical leadership and guidance to development teams.

• Design scalable, high-performance solutions using AWS services, including AppSync, Lambda, DynamoDB, API Gateway, and Cognito.

• Develop and maintain front-end applications using React and back-end services using Node.js.

• Ensure best practices in security, scalability, and performance optimization.

• Collaborate with cross-functional teams including product managers, developers, and DevOps engineers.

• Troubleshoot and resolve technical challenges efficiently.

• Stay up to date with AWS technologies and industry best practices.

Required Skills & Experience:

• AWS Certified (Solutions Architect Associate/Professional or equivalent).

• 8+ years of experience in software development.

• Strong expertise in React, Node.js, JavaScript, and AWS AppSync.

• Proven experience in designing and deploying serverless and microservices architectures on AWS.

• Proficiency in AWS services like Lambda, API Gateway, DynamoDB, S3, Cognito, IAM, CloudFormation, and CDK.

• Experience with GraphQL and REST APIs.

• Strong understanding of CI/CD pipelines and DevOps practices.

• Excellent problem-solving and project leadership skills.

• Ability to work independently and lead projects from inception to delivery.

Preferred Qualifications:

• Experience with TypeScript.

• Knowledge of containerization (Docker, Kubernetes).

• Exposure to AI/ML services on AWS.

Why Join Us?

• Opportunity to work on cutting-edge cloud projects.

• Lead high-impact initiatives with independence and ownership.

• Competitive salary and benefits.

• Collaborative and innovative work environment.

We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.

Key Responsibilities :

- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.

- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.

- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.

- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.

- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.

- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.

- Implement inter-service communication using gRPC and REST.

- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.

Required Skills & Qualifications :

- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.

- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.

- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).

- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.

- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.

- Proven experience with system architecture, distributed systems, and microservices.

- Strong familiarity with Any Cloud infrastructure and deployment practices.

- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.

• Identify and cultivate new business opportunities within the IT industry for B2B and C2C market.
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• Develop and maintain relationships with high corporate clients.
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• Analyze market trends, competitors, and potential clients to drive informed business development strategies for Staff Augmentation.
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• Collaborate with internal teams to develop tailored marketing solutions and proposals for clients in Staff Augmentation sector.
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• Lead client meetings, presentations, and negotiations, ensuring alignment with business objectives.
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• Track and report on business development activities, pipelines, and performance metrics.
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• Take ownership of the entire sales process from lead generation to deal closure, ensuring a seamless and efficient client experience.
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• Conduct thorough market research to identify potential business opportunities in Domestic and International markets.

Main Responsibilities:

• Logging all relevant incident/service request details, allocating categorization and prioritization codes.

• Providing first-line investigation and diagnosis using approved tools, systems and procedures.

• Resolving/fulfilling incidents/service requests that are in scope.

• Technical Escalations - escalating incidents/service requests that cannot be resolved/fulfilled within agreed timescales or are out of Service Desk/1st Line scope, to the next level technical team which may include 3rd Parties or other non-Assurance functions.

• Engaging and arranging external technical and non-technical support where hands and eyes support are required on-site.

• Following-up with external technical and non-technical support organizations including 3rd parties until incident/request resolution/fulfilment.

• Managerial Escalations – escalating incidents/service requests that are at risk of failing or have failed agreed SLAs/OLAs, or that are out of scope, which may include 3rd Parties or internal roles (e.g. Service Manager, Account Manager).

• Keeping customers informed of progress.

• Owning incidents/requests from ticket creation to resolution/fulfilment/closure.

• Closing all resolved/fulfilled incidents/requests and other queries. • Communication with customers – keeping them informed of incident/request progress, notifying them of impending changes or agreed outages, etc.

• Ensure the Configuration Management System (CMS) is maintained/updated.

• Maintain an exceptional level of customer service during any engagements with Customers/3rd Parties/Internal Teams.

• Ensure communication at all times is clear, concise, meaningful, professional and efficient.

• Provide feedback to appropriate Line Manager on how the Service Desk (Tier 1 and Escalation Management) and supporting functions can improve.

• Identify need for Problem Management for reoccurring Incidents/Events.

• Understanding of and familiarity with Customers’ services and solutions.

• Compliance with Service Operations processes (Event Management, Incident Management, Request Fulfilment, Change Management, and Problem Management) and associated metrics (SLAs/OLAs/KPIs/other metrics).

• Actively participate as required in meetings (customer, 3rd party, internal).

• Conducting customer satisfaction call backs/surveys as agreed. • Coach/guide Junior staff and new starters.

• Act as delegate for Senior staff.

• Act as technical escalation gate for Junior staff. • Higher First Line Fix/Right First Time than Junior staff. 

Experience

• 12+ x months experience in Customer Service/Contact Centre/Help Desk/Service Desk role (must).

• 12+ x months in a process driven organization (must).

• Experience working in a multi-cultural/international environment (desirable).

• Experience in fault diagnosis/troubleshooting and fulfilling requests (must).

CommVault Consulting Services helps customers overcome the inherent challenges of independently designing, planning, and building-out new modern data & information management environments.

We have an outstanding career opportunity for a successful Implementation Specialist to be part of our Professional Services team. This team member will be part of our professional services organization and will report directly to the Area Services Manager. This new member will be responsible for delivering solution deployments to our customers throughout the US and Canada. The perfect candidate will bring a positive attitude, efficient time management, innovative ideas, hard work ethic, and deliver quality customer service to our clients.

Job Description

How You Will Make an Impact

• Interface directly with clients to review and discuss deployments, expanding the scale of these projects
• Complete the scope of work as defined by client and sales team
• Validate all CommVault-completed tasks to ensure proper final configuration of the Commvault solution with customer
• Ensure customer satisfaction during implementation
• Assist team members, as needed

What You Need to Be Ready

• 7+ years of data protection experience
• 2+ years of consulting experience
• Experience with disk/tape storage hardware (HDS, Dell/EMC, NetApp, Oracle, Quantum, etc.)
• Cloud storage experience (Azure, AWS, Oracle)
• Proficiency with backup and recovery of Microsoft SQL, Exchange, and SharePoint
• Technical skills in Oracle, SAP, or other database platforms
• Previous Experience with backup software
• CommVault certified
• Bachelor’s degree

• Build and continuously mentor a talented product engineering team comprising of functional specialists and IT managers
• Actively advise on the optimum technology architecture, framework and supported IT infrastructure to ensure a balance between budgeted costs & building engineering capabilities
• Lead the development of products as per defined timelines and deliverables
• Ensure quality and security of the concepts and products in development by enabling adequate measures throughout the process
• Foster a corporate culture by inspiring the engineering team to grow and develop. She/he should be actively involved in feedback and retention of team members.
• Create strategic plans, set timelines to drive development of the planned products
• Continually review the progress to ensure timely launch of the respective product builds 
• Document periodic feedback from both internal and external stakeholders to continually improve the released products
• Enable active collaboration between product engineering team and other business departments within the organization, thereby promoting a culture of openness 

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

We're seeking a full-time, in-house employee to write Search Engine Optimized Website Content and social media. The ideal candidate must be able to write according to the language of different industries our company handles. Knowledge of writing articles, blog posts, press releases, website content pertaining to digital media.