Job Title: AI/ML Internship Job description AI and Machine Learning Internship at PGAGI Join PGAGI, a cutting-edge AI consultancy firm that specializes in integrating intelligent solutions into businesses. We're at the forefront of creating advanced AI systems, from fully autonomous chatbots 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. Number of openings: 4 Duration: 6 months 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. 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 an AI/ML engineer (Up to 12 LPA). Selection process: Please ensure that your application includes an updated CV, a cover letter detailing your motivation, and any relevant work or projects related to AI. 1. Initial Screening: Our team will review your submission for evidence of your skills and experience. We prioritize candidates who show a strong foundation in AI and a passion for innovation. 2. Task Assignment: You will find the assignment on our careers page. This task is designed to assess. 4. Performance Review: Upon task submission, our experts will evaluate your work. Excellence in this stage is crucial for moving forward in the process. 4. Interview: Candidates who impress us with their task performance will be invited for an interview. This is your opportunity to shine and show us how you can contribute to our team’s success. 5. Onboarding: Post a successful interview, we’ll welcome you aboard! Get ready to dive into exciting projects and contribute to the field of AI. 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. Industry Information Technology & Services Employment Type Full-Time How to Apply: https://pgagi.in/Career Shortlisted candidates will be contacted for an interview. Show more Show less

About 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