Deep Dive AI Gen AI/ML/Data Science Intern: Remote Opportunity Overview
Deep Dive AI is hiring a Gen AI/ML/Data Science Intern for a remote role. This internship is centered on practical work in AI/ML and data science, with responsibilities that include data processing, model building using Python and FastAPI, and work with ML libraries such as scikit-learn, TensorFlow, and PyTorch. The role also includes support for backend engineering and LLM/RAG tasks. It is open to UG/PG and engineering students from CS or related backgrounds who have strong Python skills and 0-1 year of experience. The stipend is Rs.5,000-10,000/month, the duration is 2-3 months, and the last date to apply is 16 August 2026.
What the Internship Covers
This internship is designed around hands-on work rather than passive observation. The core focus is on real AI/ML and data science models, which means the intern will be involved in practical tasks connected to model development and implementation. The role specifically mentions data processing, model building, and the use of Python and FastAPI, so the work is clearly tied to both machine learning and application-oriented development. In addition, the internship includes exposure to backend engineering and LLM/RAG tasks, making it broader than a single technical track.
The mention of multiple ML libraries shows the kind of technical environment associated with the role. The internship includes work with scikit-learn, TensorFlow, and PyTorch, which indicates that the intern may be expected to engage with different tools used in AI and ML workflows. Since the role is framed around model building and data science, the internship appears to connect data handling, experimentation, and implementation in one place. The overall structure suggests a learning experience built around practical contribution.
Key work areas mentioned in the role
- Data processing
- Model building using Python and FastAPI
- Use of ML libraries such as scikit-learn, TensorFlow, and PyTorch
- Backend engineering support
- LLM/RAG tasks
Deep Dive AI is hiring for a role focused on real AI/ML and data science models, with work spanning data processing, model building, backend engineering, and LLM/RAG tasks.
The internship title itself combines Gen AI, ML, and Data Science, which reflects the range of work described in the listing. That combination is important because it signals that the role is not limited to one narrow function. Instead, it brings together model work, data work, and supporting engineering tasks. For candidates, this means the internship is positioned as a practical environment where several related technical areas come together.
Eligibility and Candidate Profile
The internship is open to UG/PG and engineering students from CS or related fields. The listing also specifies that applicants should have strong Python skills and 0-1 year of experience. These details make the eligibility criteria clear and focused on early-stage candidates who already have a technical foundation. Since the role is remote, the ability to work independently and manage tasks in a distributed setup may be relevant to the experience, though no extra requirements are stated beyond what is provided.
The educational background mentioned is broad enough to include both undergraduate and postgraduate students, as well as engineering students. At the same time, the subject area is specific, since the role is for CS or related backgrounds. This combination suggests that the internship is intended for candidates who are already aligned with computing or closely connected technical fields. The requirement of strong Python further emphasizes that the role is technical and implementation-oriented.
Eligibility details provided
- UG students
- PG students
- Engineering students
- CS or related backgrounds
- Strong Python skills
- 0-1 year of experience
The experience range is especially relevant for candidates who are beginning their journey in AI, ML, or data science. Because the role allows applicants with 0-1 year of experience, it is aligned with early-career profiles rather than highly experienced professionals. The internship format also supports this stage of learning, since the duration is limited and the work is focused on practical tasks. For students and recent entrants into the field, the role offers a direct way to engage with AI/ML workflows.
The internship title and eligibility together create a clear picture of the intended audience. It is aimed at students and early-stage candidates who already know Python and are studying in a relevant technical stream. The role does not add extra qualifications beyond what is listed, so the provided criteria should be treated as the full basis for understanding who can apply. That makes the listing straightforward and easy to evaluate for fit.
Tools, Technologies, and Technical Focus
The technical stack mentioned in the listing is one of the strongest signals about the nature of the internship. The role includes Python and FastAPI for model building, along with ML libraries such as scikit-learn, TensorFlow, and PyTorch. These tools point to a role that combines machine learning development with application support. The inclusion of backend engineering and LLM/RAG tasks adds another layer, showing that the internship extends beyond model training alone.
Because the listing names multiple libraries, the internship appears to involve working across different parts of the AI/ML workflow. scikit-learn is listed alongside TensorFlow and PyTorch, which suggests exposure to a range of ML environments. The mention of FastAPI also indicates that the role may involve building or supporting interfaces around models. While no further detail is given, the tools named are enough to show that the internship is technically broad and practical.
Technologies and areas mentioned
- Python
- FastAPI
- scikit-learn
- TensorFlow
- PyTorch
- Backend engineering
- LLM/RAG
The role’s emphasis on data processing is also important because it connects the model-building work to the data that powers it. In AI and data science roles, processing data is often a foundational step, and here it is explicitly included in the responsibilities. That means the intern is likely to be involved in the early stages of the workflow as well as the implementation side. The listing therefore presents a complete technical picture within the limits of the information provided.
The combination of AI/ML, data science, backend engineering, and LLM/RAG tasks makes the internship especially relevant for candidates looking for a multi-dimensional technical experience. It is not described as a purely research-based role or a purely software-only role. Instead, the provided content shows a blend of model work and engineering support. This makes the internship search-friendly for candidates looking specifically for Gen AI, ML, and data science exposure.
Stipend, Duration, and Work Mode
The internship offers a stipend of Rs.5,000-10,000/month. This is the only compensation detail provided, and it gives applicants a clear idea of the monthly support associated with the role. The duration is listed as 2-3 months, which makes it a short-term internship. Together, the stipend and duration help define the practical structure of the opportunity without adding any extra assumptions.
The work mode is remote, and the listing also describes it as work from home. These terms indicate that the internship can be done without on-site attendance. Since the role is remote, it may be appealing to candidates who are looking for flexibility in location. The listing does not provide any additional details about schedule, hours, or location-specific requirements, so those should not be inferred.
At-a-glance internship details
| Detail | Information provided |
|---|---|
| Role | Gen AI/ML/Data Science Intern |
| Work mode | Remote / work from home |
| Stipend | Rs.5,000-10,000/month |
| Duration | 2-3 months |
| Experience | 0-1 year |
| Last date to apply | 16 August 2026 |
The short duration may be useful for candidates seeking a focused internship experience. Because the role is only 2-3 months, it is framed as a compact opportunity rather than a long-term placement. The stipend range and remote format together make the listing easy to understand from a practical standpoint. All of these details are directly stated in the content and should be treated as the complete set of available facts.
The remote nature of the internship also aligns with the technical work described. Since the role involves model building, data processing, and backend-related tasks, the work can be understood as project-based and digitally coordinated. The listing does not specify any office location, which reinforces the remote setup. For search purposes, the key terms here are remote internship, work from home, and Gen AI/ML/Data Science.
Application Timeline and Final Takeaways
The last date to apply for the internship is 16 August 2026. That deadline is the only application timeline detail provided, so it is the most important date to note. Since no other steps, process details, or selection stages are mentioned, the listing should be read strictly around the information available. Candidates interested in the role should keep the deadline in mind while reviewing the eligibility and technical expectations.
Overall, the internship is positioned as a practical opportunity for candidates who want exposure to Gen AI, ML, and Data Science. The role includes data processing, model building, backend engineering support, and LLM/RAG tasks, all within a remote setup. The stipend, duration, and eligibility criteria are clearly stated, making the listing concise and easy to assess. For students and early-career candidates with strong Python skills, the opportunity is presented as a focused technical internship.
The combination of tools, responsibilities, and eligibility makes the role straightforward to understand. It is aimed at UG/PG and engineering students from CS or related backgrounds, with 0-1 year of experience and strong Python knowledge. The internship is short-term, remote, and centered on real AI/ML work. That makes it a clear option for candidates looking for a structured entry point into applied machine learning and data science.
Frequently Asked Questions
What is the role offered by Deep Dive AI?
Deep Dive AI is hiring a Gen AI/ML/Data Science Intern. The role is remote and focuses on real AI/ML and data science models. It includes data processing, model building using Python and FastAPI, ML libraries, backend engineering support, and LLM/RAG tasks.
Who can apply for this internship?
The internship is open to UG/PG and engineering students from CS or related backgrounds. Applicants should also have strong Python skills and 0-1 year of experience. These are the eligibility details provided in the listing.
What technologies are mentioned in the internship?
The listing mentions Python, FastAPI, scikit-learn, TensorFlow, and PyTorch. It also includes backend engineering and LLM/RAG tasks. These tools and areas show that the internship is technical and practical in nature.
Is the internship remote?
Yes, the internship is described as remote and also as work from home. No office location is mentioned. The listing presents the role as a remote opportunity for candidates who meet the stated eligibility criteria.
What is the stipend and duration?
The stipend is Rs.5,000-10,000/month, and the duration is 2-3 months. These are the only compensation and time-period details provided. The role is therefore a short-term internship with monthly stipend support.
What is the last date to apply?
The last date to apply is 16 August 2026. No other application timeline details are provided in the content. This date is the key deadline mentioned for the internship.
Conclusion
Deep Dive AI’s Gen AI/ML/Data Science Intern role is a remote, short-term internship built around practical technical work. The listing highlights data processing, model building, Python, FastAPI, ML libraries, backend engineering, and LLM/RAG tasks, giving the opportunity a broad but clearly defined focus. It is open to UG/PG and engineering students from CS or related backgrounds with strong Python skills and 0-1 year of experience. With a stipend of Rs.5,000-10,000/month, a duration of 2-3 months, and a last date to apply of 16 August 2026, the role is presented as a concise and accessible entry point into applied AI and data science work.
