PGAGI
https://pgagi.in/About
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Jobs at PGAGI
PythonKey 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.
Python
Deep LearningWe'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
Company: PGAGI Consulting Pvt Ltd
Location: Remote
Type: Full-time
About the Role:
We are urgently seeking a creative and tech-savvy Content Writer to join our social media production team. The ideal candidate will be deeply passionate about AI and skilled at creating engaging narratives across digital platforms. This role combines storytelling, social media management, and short-form video content creation to help grow our online presence.
Key Responsibilities:
• Research and write engaging content around AI and tech, including blogs, social media posts, captions, and newsletters.
• Develop compelling storytelling for social platforms like LinkedIn, Instagram, and YouTube, especially around reels and short-form video content.
• Collaborate with video editors and designers to conceptualize, script, and review reels/video content for multiple platforms.
• Manage and post produced content across social media, ensuring timely delivery and audience engagement.
• Monitor analytics and optimize performance through insights, content tweaks, and strategic planning.
• Stay current on AI trends, tools, and conversations to infuse authenticity and relevance into all content.
Ideal Candidate Profile:
• Strong writing skills with a knack for storytelling and simplifying complex AI topics.
• Prior experience in social media content management, including scheduling tools (e.g., Buffer, Hootsuite), caption writing, and trend spotting.
• Working knowledge of video/reel content production—ideally knows how to write scripts and collaborate on short-form visual content.
• Familiarity with basic content performance metrics and ability to adjust strategies accordingly.
• A genuine enthusiasm for AI and technology, staying updated with the latest advancements.
What We Offer:
• Remote-first role with flexibility
• Competitive salary
• Opportunity to work at the intersection of AI, content, and digital marketing
• Collaborative and innovative team culture
• Growth and learning in one of the fastest-growing industries
Docker
Kubernetes
grafanaAbout PGAGI:
At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.
Position Overview:
PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Intern with around 3-6 months of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring.
Key Responsibilities:
AI Model Deployment & Integration
- Assist in containerizing and deploying AI/ML models into production using Docker.
- Support integration of models into existing systems and APIs.
Infrastructure Management
- Help manage cloud and on-premise environments to ensure scalability and consistency.
- Work with Kubernetes for orchestration and environment scaling.
CI/CD Pipeline Automation
- Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins).
- Implement basic automated testing and rollback mechanisms.
Hosting & Web Environment Management
- Assist in managing hosting platforms, web servers, and CDN configurations.
- Support DNS, load balancer setups, and ensure high availability of web services.
Monitoring, Logging & Optimization
- Set up and maintain monitoring/logging tools like Prometheus and Grafana.
- Participate in troubleshooting and resolving performance bottlenecks.
Security & Compliance
- Apply basic DevSecOps practices including security scans and access control implementations.
- Follow security and compliance checklists under supervision.
Cost & Resource Management
- Monitor resource usage and suggest cost optimization strategies in cloud environments.
Documentation
- Maintain accurate documentation for deployment processes and incident responses.
Continuous Learning & Innovation
- Suggest improvements to workflows and tools.
- Stay updated with the latest DevOps and AI infrastructure trends.
Requirements:
- Around 6 months of experience in a DevOps or related technical role (internship or professional).
- Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana).
- Exposure to scripting languages (e.g., Bash, Python) is a plus.
- Strong problem-solving skills and eagerness to learn.
- Good communication and documentation abilities.
Compensation
- Joining Bonus: INR 2,500 one-time bonus upon joining.
- Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
- Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
- Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.
Ready to kick-start your DevOps journey in a dynamic AI-driven environment? Apply now
#Devops #Docker #Kubernetes #DevOpsIntern
NextJs (Next.js)
React.js
HTML/CSS
Redux/FluxWe'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 a Software Development engineer (Up to 12 LPA).
Key Responsibilities
- Engage in the full software development lifecycle: ideation, design, development, testing, and deployment.
- Develop responsive, high-performance web applications utilizing HTML, CSS, JavaScript, and frameworks such as React, Angular, and Next.js.
- Create back-end services and APIs using Node.js, managing data with MongoDB and Supabase.
- Utilize cloud services like AWS for hosting and scaling applications.
- Collaborate on the design of efficient and scalable database schemas.
- Learn from code reviews with seasoned developers, adopting best practices and coding standards.
Requirements
- Enrollment in a Computer Science or related degree program.
- Proficiency in HTML, CSS, JavaScript, with experience in frameworks like React, Angular, or Next.js.
- Understanding of back-end development using Node.js.
- Knowledge of database technologies such as MongoDB and Supabase.
- Exposure to cloud services, particularly AWS, and familiarity with hosting principles.
- Strong problem-solving capabilities and a continuous learning mindset.
- Excellent teamwork and communication skills.
- Mandatory proficiency in GIT.
Docker
Jenkins
Amazon Web Services (AWS)
GitHubPosition: Project Manager
Location: Bengaluru, India (Hybrid/Remote flexibility available)
Company: PGAGI Consultancy Pvt. Ltd
About PGAGI
At PGAGI, we are building the future where human and artificial intelligence coexist to solve complex problems, accelerate innovation, and power sustainable growth. We develop and deploy advanced AI solutions across industries, making AI not just a tool but a transformational force for businesses and society.
Position Summary
PGAGI is seeking a dynamic and experienced Project Manager to lead cross-functional engineering teams and drive the successful execution of multiple AI/ML-centric projects. The ideal candidate is a strategic thinker with a solid background in engineering-led product/project management, especially in AI/ML product lifecycles. This role is crucial to scaling our technical operations, ensuring seamless collaboration, timely delivery, and high-impact results across initiatives.
Key Responsibilities
• Lead Engineering Teams Across AI/ML Projects: Manage and mentor cross-functional teams of ML engineers, DevOps professionals, and software developers through agile delivery cycles, ensuring timely and high-quality execution of AI-focused initiatives.
• Drive Agile Project Execution: Define project scope, objectives, timelines, and deliverables using Agile/Scrum methodologies. Ensure continuous sprint planning, backlog grooming, and milestone tracking via tools like Jira or GitHub Projects.
• Manage Multiple Concurrent Projects: Oversee the full lifecycle of multiple high-priority projects—ranging from AI model development and infrastructure integration to client delivery and platform enhancements.
• Collaborate with Technical and Business Stakeholders: Act as the bridge between engineering, research, and client-facing teams, translating complex requirements into actionable tasks and product features.
• Maintain Engineering and Infrastructure Quality: Uphold rigorous engineering standards across deployments. Coordinate testing, model performance validation, version control, and CI/CD operations.
• Budget and Resource Allocation: Optimize resource distribution across teams, track project costs, and ensure effective use of cloud infrastructure and personnel to maximize project ROI.
• Risk Management & Mitigation: Identify risks proactively across technical and operational layers. Develop mitigation plans and troubleshoot issues that may impact timelines or performance.
• Monitor KPIs and Delivery Metrics: Establish and monitor performance indicators such as sprint velocity, deployment frequency, incident response times, and customer satisfaction for each release.
• Support Continuous Improvement: Foster a culture of feedback and iteration. Champion retrospectives and process reviews to continually refine development practices and workflows.
Qualifications:
• Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.
• Experience: Minimum 5 years of experience as a Project Manager, with at least 2 years managing AI/ML or software engineering teams.
• Tech Expertise: Familiarity with AI/ML lifecycles, cloud platforms (AWS, GCP, or Azure), and DevOps pipelines (Docker, Kubernetes, GitHub Actions, Jenkins).
• Tools: Strong experience with Jira, Confluence, and project tracking/reporting tools.
• Leadership: Proven success leading high-performing engineering teams in a fast-paced, innovative environment.
• Communication: Excellent written and verbal skills to interface with both technical and non-technical stakeholders.
• Certifications (Preferred): PMP, CSM, or certifications in AI/ML project management or cloud technologies.
Why Join PGAGI?
• Lead cutting-edge AI/ML product teams building scalable, impactful solutions.
• Be part of a fast-growing, innovation-driven startup environment.
• Enjoy a collaborative, intellectually stimulating workplace with growth opportunities.
• Competitive compensation and performance-based rewards.
• Access to learning resources, mentoring, and AI/DevOps communities.
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