
GBIT India Hiring AI & Cloud Engineering Internship 2025
GBIT India
GBIT India off campus drive : Job Overview
| Company | GBIT India |
| Location | Remote / Hybrid / On-site (Irving, TX - USA) |
| Category | Software |
| Employment Type | full-time |
| Posted | 7 May 2025 |
| Status | Active |
Job Description
AI & Cloud Engineering Internship (Azure-Focused)
Location: Remote / Hybrid / On-site (Irving, TX - USA)
Duration: 3 to 7 Months
Department: Artificial Intelligence & Cloud Solutions
Job Role: AI & Cloud Engineering Intern
We are seeking a motivated and technically skilled AI & Cloud Engineering Intern to join our innovative team. This role is ideal for a graduate student pursuing a Master’s in Artificial Intelligence with a strong foundation in software development, machine learning, and cloud technologies.
You will contribute to building intelligent solutions using Azure AI services, big data tools, and machine learning frameworks.
Key Responsibilities
- Collaborate with senior AI engineers on machine learning models for NLP, prediction, and classification tasks
- Deploy and manage models using Azure Machine Learning, Azure Databricks, and Azure Functions
- Assist with data ingestion, preprocessing, and transformation using tools like Spark and Hadoop
- Build and visualize data pipelines using Azure Data Factory and Power BI
- Participate in the development of APIs and microservices for AI applications
- Monitor and optimize AI workloads in the cloud
- Document project workflows, model performance, and architecture
Required Skills & Qualifications
- Currently enrolled in a Master’s program in AI, CS, or a related field
- Completed coursework in:
- Machine Learning
- Natural Language Processing (NLP)
- Big Data
- Feature Engineering
- Software Development for AI
- Data Visualization
- Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)
- Familiar with Azure Cloud services (Azure ML, Functions, Blob Storage, DevOps)
- Experience in data visualization (Matplotlib, Seaborn, Power BI)
- Understanding of version control (Git) and CI/CD workflows
Preferred Qualifications
- Knowledge of MLOps, Docker, and Kubernetes
- Exposure to SQL and NoSQL databases
- Experience on academic or personal AI + cloud projects
Benefits
- Mentorship from senior AI and Cloud professionals
- Work on real-world Azure-based AI projects
- Azure credits and exclusive learning resources
- Opportunity for full-time conversion based on performance
Apply by sending your resume to:
Follow Us:
@Instagram
@Youtube
@Telegram Channel
@LinkedIn
Tags
#AIInternship #CloudInternship #AzureML #NLP #BigData #MachineLearning #InternshipUSA #RemoteInternship #AzureIntern #AICloudEngineering #PythonInternship #MLOps #AzureJobs #GbitInternship
Ready to apply?
No application link available.
You'll be redirected to the company's site
Latest Jobs
Fresh postings — updated daily
Techdome is Hiring DevOps Engineer | DevOps Engineer Jobs in Hyderabad & Indore 2026 – Techdome Hiring Azure, Kubernetes & SRE Professionals
Techdome · Hyderabad / Indore
Apple Off Campus Drive 2026 | Apple is Hiring Fresher Linux & Systems Engineer – Fleet Operations Engineering
Apple · Bengaluru, Karnataka, India
HARMAN Automotive Off Campus Drive 2026 | HARMAN Automotive is Hiring Fresher Associate Engineer – AWS DevOps
HARMAN Automotive · Bangalore, Karnataka, India
Wingman Partners is Hiring DevOps Engineer - I | DevOps Engineer Jobs in Noida 2026 – Wingman Partners Hiring Cloud & CI/CD Engineers
Wingman Partners · Noida, India
LeadSquared Off Campus Drive 2026 | LeadSquared is Hiring Fresher Intern - Site Reliability Engineer SRE
LeadSquared · Bangalore, Karnataka, India
AlphaSense is looking for Cloud Support Engineer
AlphaSense · Delhi
Disclaimer
CareersInCloud is an independent job information platform. We are not affiliated with, endorsed by, sponsored by, or acting on behalf of any company listed on this website. We do not represent any employer, nor do we operate as a recruiter or hiring agency.
All job listings are sourced from publicly available information, including official company career pages and other public sources. CareersInCloud does not claim ownership of any job listing content. All company names, logos, brand identities, and trademarks referenced on this platform are the intellectual property of their respective owners and are used solely for identification and informational purposes.
CareersInCloud makes no representations or warranties regarding the accuracy, completeness, legality, or timeliness of any listing. We shall not be held liable for any loss, damages, or inconvenience arising from reliance on information published on this platform.
CareersInCloud does not charge any fee for accessing job information. Candidates are strongly advised to verify all listings independently and apply only through the official career websites of the respective companies.