sales executive

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (Up to 12 LPA).

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Experience working with python, LLM, Deep Learning, NLP, etc..
• Utilize GitHub for version control, including pushing and pulling code updates.
• Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
• Engage in prompt engineering and the fine-tuning process of AI models.

Requirements

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

To Apply Click below link and submit the Assignment

https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

General Manager - Operations

Department: Operations

Location: Goa (Corlim Industrial Estate)

Reports To: BOD Role

Summary: The General Manager – Production will lead the overall production function of the Elastic Plant in Goa, ensuring timely, cost-effective, and high-quality output. The role is responsible for achieving daily, monthly, and annual production targets, driving continuous improvement, managing production teams, and aligning plant activities with corporate goals while maintaining health, safety, and compliance standards.

Key Responsibilities:

1. Production Planning & Execution

• Oversee daily and long-term production schedules to meet delivery timelines and output targets.

• Coordinate with SCM, Maintenance, and QA for uninterrupted production flow.

• Monitor real-time production KPIs and take immediate corrective actions when needed.

2. Capacity Utilization & Productivity

• Optimize plant capacity and resource utilization (manpower, machines, materials).

• Drive initiatives for improving machine efficiency, reducing downtime, and eliminating bottlenecks.

• Implement lean manufacturing and productivity-enhancing practices.

3. Quality Control & Compliance

• Ensure adherence to product specifications and quality standards.

• Work with QA/Technical teams to address quality issues and customer feedback.

• Ensure compliance with SOPs, statutory regulations, audits, and certifications.

4. Cost Optimization

• Monitor production costs and control wastage of raw materials, utilities, and manpower.

• Identify opportunities to reduce cost per unit through process improvement and waste reduction.

5. Team Management & Development

• Lead and manage production supervisors, line managers, and floor staff.

• Define roles, set individual KPIs, monitor performance, and provide developmental feedback.

• Ensure effective training programs for skill development and safety practices.

6. Safety, Health & Environment

• Ensure adherence to all safety norms and regulations across the production floor.

• Promote a culture of safety and conduct periodic audits and drills.

• Ensure environmental compliance in waste disposal and energy usage.

7. Reporting & Reviews

• Maintain daily, weekly, and monthly production reports with key metrics.

• Participate in management reviews and provide insights into production performance.

• Propose improvement plans based on data trends and performance gaps.

Qualifications & Experience

• Education: Degree in Mechanical/Textile/Industrial Engineering or related discipline. Postgraduate qualification preferred.

• Experience: 12–15 years in production/manufacturing roles, with at least 5 years in a senior leadership role.

• Industry Preference: Elastic/Narrow Fabric, Textile, Garments, or Process Manufacturing.

Key Skills

• Strong command of production planning and execution • Leadership and team-building abilities

• Proficiency in lean manufacturing, 5S, Kaizen, and TPM

• Analytical and problem-solving mindset

• Working knowledge of ERP systems (SAP, Oracle, etc.)

• Commitment to quality, safety, and compliance

Key Responsibilities:

• Make outbound calls and handle inbound inquiries to counsel students and parents about our courses and programs.
• Understand student requirements, preferences, and academic background to suggest suitable courses.
• Follow up on leads and inquiries through calls, emails, and messages.
• Convert leads into walk-ins, and walk-ins into successful admissions.
• Meet and exceed weekly/monthly admission targets and KPIs.
• Coordinate with the academic and operations team to ensure smooth onboarding of students.
• Stay updated with course offerings, admission criteria, deadlines, and industry trends.

Required Skills & Qualifications:

• Bachelor's degree in any discipline (preferred: Education, Business, or Communication).
• Prior experience in telesales, inside sales, or academic counselling is a plus.
• Excellent verbal and written communication skills.
• Strong interpersonal and persuasive abilities.
• Proficiency in using MS Office tools.
• Goal-oriented mindset with the ability to work under pressure.

Who we are

At Criteo, our culture is as unique as it is diverse. From our offices around the world or from home, our incredible team of 2,700 Criteos collaborates to develop an open and inclusive environment. We aim to create a place where people can grow and learn from each other while having a meaningful impact. We work together to achieve our goals, push boundaries, and share successes. All of this supports us in our mission to power the world’s marketers with trusted and impactful advertising.

At Criteo, we believe the future is wide open when it includes everyone. We are committed to creating an environment where all Criteos feel a sense of belonging. We nourish our diversity by listening to all cultures within Criteo - and there are many. We are proud to be a global team and conscious that it takes people with different perspectives, thoughts and cultures to succeed. We want you to come as you are so we can succeed together.

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

What will you work on?

Build pixel-perfect, buttery smooth UIs across both mobile platforms.
Leverage native APIs for deep integrations with both platforms.
Diagnose and fix bugs and performance bottlenecks for performance that feels native.
Reach out to the open-source community to encourage and help implement mission-critical software fixes React Native moves fast and often breaks things.
Maintain code and write automated tests to ensure the product is of the highest quality.
Transition existing React web apps to React Native.
Do you fit in?

1+ years of experience in React Native

• Ability to write well-documented, clean JavaScript code
• Familiarity with native build tools, like XCode, Gradle
• Understanding of REST APIs, the document request model, and offline storage
• Meaningful experience working on large, complex systems
• Ability to work through new and difficult React Native issues and contribute to libraries as needed
• A positive mindset and can-do attitude.
• Ability to create and maintain continuous integration and delivery of React Native applications.

Responsibilities :

- Design and develop highly scalable, highly available, reliable, secure and fault-tolerant systems with minimal guidance for one of the fastest-growing company in India

- Translate business requirements into scalable and extensible design

- Pair with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team

- Partner with the product management team to define and execute the feature roadmap

- Coordinate with cross-functional teams (Mobile, UX etc.) on planning and execution

- Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies

- The building of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

Experience and Skills :

- 2+ years of hands-on experience in designing, developing, testing and deploying applications on Node.JS for large scale applications.

- Strong proficiency with JavaScript

- Understanding of Asynchronous Request handling techniques.

- Deep knowledge of Linux : CentOS, Fedora, or Ubuntu

- Data modeling experience in Relational and NoSQL databases(MONGO DB)

- Ability to understand and implement Continuous Integration and Continuous Delivery

- Well versed with Agile methodologies, TDD and Test Engineering and Automation

- Ability to design and implement low latency RESTful services

- Experience troubleshooting server performance - memory issues, GC tuning, resource leaks, etc.

- Excellent understanding of interactive application development paradigm, memory management, performance/resource optimizations, database interactions, network programming, concurrency and multithreading, fault tolerance, monitoring, security and operability of systems

- Continuously refactor applications to ensure high-quality design

- Ability to plan, prioritize, estimate and execute releases with a good degree of predictability