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Job Objective

The primary objective of the role is to ensure smooth production by addressing Quality issues/problems in production and identifying better solutions and process improvement for operational efficiency. The manager is responsible for Quality Control from the Yarn to Packing Department, including the Lab. A key goal is to ensure 1st Quality Production while maintaining the Overall Rejection for the Plant to be below 5%.

Key Roles & Responsibilities

The responsibilities are categorized into several areas:

Operational

• Responsible for Quality Control for all Production Departments, including Knitting, Seaming, Washing, Boarding, Checking & Packing.

• Managing the Yarn Testing Lab and overseeing all Third Party & Self Inspections.

• Implementing stringent quality control systems and conducting audits to enhance product quality and reduce rejection / wastage.

• Conducting Online Quality Rounds to control quality issues at the online stage.

• Generating and maintaining various monthly/annual reports, such as AOQ (Average Outgoing Quality), Cost of Poor Quality, Quality Trends (All Stages), and Defects wise % reports for Knitting & Finishing.

• Handling and maintaining records of customer queries & complaints, along with corrective actions.

• Adhering to customer-specified Restricted Substance list (RSL) and practicing stringent quality and safety standards on the shop floor.

Strategy & Planning

• Responsible for Quality Compliance.

• Managing all types of Samples (Salesman, Shipment, PP Samples, etc.).

• Handling all Customer Complaints and managing Quality related Customer Coordination.

• Active participation in Quality related reengineering.
• Carrying out various Quality Systems like Quality Circle, 5S, Zero Quality, and TQM.

Additional Responsibility

• Training of New QC's.

• Conducting awareness & training sessions for Quality auditors to build their skill to meet customer quality norms in the process.

• Ensuring Factory Compliance - Technical.

• Supporting improved productivity and efficiency with the budgeted head count.

• Focusing on Cost Saving by striving for 0% reduction in wastage.

People Management

• Ensuring the team understands and adheres to defined clear roles and accountabilities.

• Developing and monitoring Key Performance Indicators (KPIs) of direct reportees and counseling them for development.

• Identifying training and development needs of team members and planning implementation.

• Driving a transparent, performance-driven and result-oriented culture within the team.

• Ensuring succession planning for the manager and critical roles in the team.

About the Company

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position Summary

We are seeking a highly experienced and visionary Senior Engineering Manager – Inference Services to lead and scale our team responsible for building high-performance inference systems that power cutting-edge AI/ML products. This role requires a blend of strong technical expertise, leadership skills, and product-oriented thinking to drive innovation, scalability, and reliability of our inference infrastructure.

Key Responsibilities

Leadership & Strategy

• Lead, mentor, and grow a team of engineers focused on inference platforms, services, and optimizations.
• Define the long-term vision and roadmap for inference services in alignment with product and business goals.
• Partner with cross-functional leaders in ML, Product, Data Science, and Infrastructure to deliver robust, low-latency, and scalable inference solutions.

Engineering Excellence

• Architect and oversee development of distributed, production-grade inference systems ensuring scalability, efficiency, and reliability.
• Drive adoption of best practices for model deployment, monitoring, and continuous improvement of inference pipelines.
• Ensure high availability, cost optimization, and performance tuning of inference workloads across cloud and on-prem environments.

Innovation & Delivery

• Evaluate emerging technologies, frameworks, and hardware accelerators (GPUs, TPUs, etc.) to continuously improve inference efficiency.
• Champion automation and standardization of model deployment and lifecycle management.
• Balance short-term delivery with long-term architectural evolution.

People & Culture

• Build a strong engineering culture focused on collaboration, innovation, and accountability.
• Provide coaching, feedback, and career development opportunities to team members.
• Foster a growth mindset and data-driven decision-making.

Basic Qualifications

Experience

• 12+ years of software engineering experience with at least 4–5 years in engineering leadership roles.
• Proven track record of managing high-performing teams delivering large-scale distributed systems or ML platforms.
• Experience in building and operating inference systems, ML serving platforms, or real-time data systems at scale.

Technical Expertise

• Strong understanding of machine learning model deployment, serving, and optimization (batch & real-time).
• Proficiency in cloud-native technologies (Kubernetes, Docker, microservices architecture).
• Hands-on knowledge of inference frameworks (TensorFlow Serving, Triton Inference Server, TorchServe, etc.) and hardware accelerators.
• Solid background in programming languages (Python, Java, C++ or Go) and performance optimization techniques.

Preferred Qualifications

• Experience with MLOps platforms and end-to-end ML lifecycle management.
• Prior work in high-throughput, low-latency systems (ad-tech, search, recommendations, etc.).
• Knowledge of cost optimization strategies for large-scale inference workloads.

Machine Operator – Fresher

Department: Manufacturing

📍 On-site | ICC Trade Tower, S.B. Road, Pune

🕒 Full-time | 1/2 Year Experience Preferred

🏢 Rawmart Material Solution Pvt. Ltd.

About Rawmart:

Rawmart is an end-to-end raw material and supply chain solutions provider for manufacturers and SMEs across India. We focus on enabling cost-effective procurement, quality control, and process efficiency through innovation and collaboration.

Role Summary:

We are looking for enthusiastic and dedicated freshers to join our manufacturing team as Machine Operators. This is an excellent opportunity to start your career in a professional production environment with hands-on training and growth opportunities..

Key Requirements:

1.Operate machinery and equipment as per standard operating procedures (SOPs)

Monitor machine performance and report any issues or malfunctions

Maintain cleanliness and basic upkeep of the machines and surrounding area

Follow all safety guidelines and protocols

Assist in loading/unloading raw materials and finished goods

Work closely with supervisors and team members to meet daily production targets.

Qualifications:

ITI/Diploma in Mechanical

Eagerness to learn and grow in a factory environment

Good physical stamina and willingness to work in shifts

Basic understanding of machinery (training will be provided)

Ability to follow instructions and work in a team

What We Offer:

On-the-job training and skill development

Safe and supportive work environment

Career growth opportunities within the organization

Be part of Rawmart’s mission to empower SMEs and drive manufacturing excellence.

•  Perform Build activities (hardware & software configuration) of customer environment and contribute to improve Build process.
•  Coordinate for Service transition activities.

• Initiate change / release requests in line 
• customer change / release management process.

•  Work on the major problem tickets assigned by ITIS Teams
• Hands on experience in hardware asset management.
• experience on ticketing tool like service now or SNOW
• ITIL Certified.

Shift: 11 am to 8 pm

Hands on skills on the following technologies:

• Kafka Streams
• CassandraDB
• MS SQL SERVER
• Liquibase
• Maven, GIT, JUNITS

Mandatory skills:

• Java 17
• Spring Boot
• Spring Cloud
• Spring JPA
• Apache Kafka
• Microservices

• Design, develop, test, debug and maintain components of the cloud infrastructure
• Manage operational priorities of the DBaaS
• Establish a process for handling and leading response to security new vulnerabilities
• Lead certification efforts from the security perspective
• Participate in penetration testing efforts
• Design and build DBaaS processes for key management, rotation storage, encryption, and password management

Requirements:

• Strong software design and implementation skills in building infrastructure frameworks
• Experience building and operating extensible, scalable resilient data systems
• Working knowledge of Java and Python Experience using public cloud infrastructure (AWS, GCP, or Azure)
• Containerization tooling (Docker, EKS, Kubernetes)
• Infrastructure as Code Tooling (Example: Terraform, Cloudformation, Etc.)
• Configuration Management Tooling (Ansible, Chef, etc.)
• Automation Scripting (Python preferred)
• Solid understanding of basic systems operations (disk, network, etc)
• Willingness and ability to learn new languages and concepts
• 5+ years of relevant experience

We are looking for enthusiastic marketing interns to join our marketing team and provide creative ideas to help achieve our goals. You will have administrative duties in developing and implementing marketing strategies.

Selected intern's day-to-day responsibilities include:

1. Collect quantitative and qualitative data from marketing campaigns

2. Perform market analysis and research on the competition

3. Handle both online & offline marketing

4. Support the marketing team in daily administrative tasks

5. Assist in marketing and advertising promotional activities (e.g. social media, direct mail, and web)

6. Prepare promotional presentations

7. Convert leads into sales of application

Other requirements:

Should have a strong desire to learn along with a professional drive

Should have a solid understanding of different marketing techniques

Should have excellent verbal and written communication skills

Should have excellent knowledge of Android O.S.

Should have familiarity with marketing mobile applications (e.g. online analytics, and Google AdWords)

Should have passion for the marketing industry and its best practices