NovaGrid Analytics is offering Remote Internship Opportunities for candidates interested in Artificial Intelligence, Machine Learning and Data Science. The company is looking for motivated students and entry-level candidates seeking hands-on experience working with AI models, business datasets and modern analytics tools.
This internship will provide you practical experience with Generative AI, Large Language Models (LLMs), data analytics and automation projects. Interns will collaborate with experienced data scientists and engineers on real-world projects used by companies and technology teams.
| Internship Information | |
|---|---|
| Company Name: | NovaGrid Analytics |
| Position: | Data Science & Generative AI Intern |
| Job Type: | Full-Time Internship |
| Work Mode: | Remote |
| Experience: | Students & Freshers |
| Stipend: | $1,200 – $2,000 Per Month |
| Industry: | Data Science & Artificial Intelligence |
Internship Details
NovaGrid Analytics is scaling its AI and analytics projects and is seeking applications from candidates who are passionate about data and emerging technologies.
Interns will work on projects involving machine learning experiments, data preparation, AI model testing, and business automation solutions. Interns will also learn how companies evaluate AI-generated content and improve model performance with real-world data.
This position is a great opportunity to gain industry experience working remotely with people of various technical backgrounds.
Key Responsibilities:
Interns chosen for this program will possibly participate in:
- Curating and structuring datasets for analysis.
- Support for testing AI models and prompt engineering activities.
- Review & evaluate AI-generated responses.
- Support machine learning and analytics experiments.
- Build basic reports, charts and dashboards.
- Identify data quality problems and inconsistencies.
- Recording observations and research findings of the project.
- Collaborate with engineering teams on automation tasks.
- Helping with presentations and project discussions.
Education qualification
Candidates must be:
- Currently studying for a degree, or
- Recent graduate in Data Science, Computer Science, Statistics, Artificial Intelligence or similar.
What Skills Do You Need?
Applicants should have a basic understanding of:
- Programming in Python.
- Data base and SQL Concepts.
- Data analysis tools like Pandas or NumPy.
- Machine Learning Building Blocks.
- Generative AI and Large Language Models (LLMs)
- Spreadsheet and data handling tools.
Added advantage will be:
- Jupyter notebook
- Google Colab .
- GitHub.
- Visualization tools.
Internship Benefits
Benefits for selected interns include:
- Fully Remote Work Environment
- Flexible working time.
- Guidance from experienced Data Scientists and AI Engineers.
- Access to cloud-based developer tools.
- Practical experience with AI projects in the real world.
- Certificate of completion of internship.
- Performance review and feedback
- Opportunity to be considered for future full-time roles.
Who are we looking for?
This internship is perfect for candidates who:
- Enjoy working with data and technology.
- Hands on experience in Artificial Intelligence is a plus.
- Interested in Generative AI & Machine Learning.
- Likes to solve problems with analytical thinking.
- want to strengthen their technical portfolio before graduation
About NovaGrid Analytics
NovaGrid Analytics is a company that builds advanced analytics and AI-powered solutions for digital businesses. The company combines predictive analytics with automation tools and Generative AI technologies to help organizations improve productivity and decision making.
Its worldwide remote teams are engaged in innovative projects across business intelligence, customer analytics, and artificial intelligence-based automation systems.
Application Process
The recruitment process may involve:
Step 1: Review of application
The hiring team will look at submitted resumes, project experience.
Step 2: Technical Evaluation
Shortlisted candidates may be asked to undertake a simple technical or analytical test.
Step 3: Internet Interview
Selected applicants will take part in an online conversation with members of the Data Science team.
Application Process
We are looking for interested candidates and ask them to send an updated resume and links to any of their academic projects, GitHub repositories, Kaggle notebooks or technical portfolios. Also, you can boost your application by highlighting coursework in Machine Learning, Statistics, Artificial Intelligence, or Data Analytics.
Internship positions will be filled as soon as the necessary number of interns has been recruited, so early application is strongly recommended.