About the Internship
Singularis Software Technologies is looking for passionate students and fresh graduates interested in Artificial Intelligence and Machine Learning.
Selected interns will gain practical exposure to:
✔ Machine Learning Algorithms
✔ Deep Learning Concepts
✔ Generative AI Applications
✔ Prompt Engineering
✔ NLP and Computer Vision Projects
✔ MLOps Fundamentals
✔ Real-Time Industry Projects
✔ Model Deployment Techniques
Eligibility
- B.Tech, MCA, MSc, BSc, BCA, M.Tech students or graduates
- Basic knowledge of Python preferred
- Strong interest in AI and Data Science
- Willingness to work on real-world projects
Stipend
Performance-based stipend available for eligible candidates.
Benefits
- Hands-on project experience
- Internship certificate
- Industry mentorship
- Exposure to real-time AI projects
- Placement assistance for high-performing candidates
- Opportunity to build a strong AI/ML portfolio
Preferred Skills
- Advanced Python
- Machine Learning Practical Knowledge
- Data Analysis Project Knowledge
- Basic Knowledge of AI Concepts including Gen AI/LLM Cloud Deployment
Candidates who need additional skill development may be guided through structured learning pathways before being assigned to advanced project work.
Required Technical Skills
Candidates applying for this internship should have practical knowledge in one or more of the following areas:
✅ Python Programming
✅ Machine Learning Algorithms
- Supervised Learning
- Unsupervised Learning
- Model Evaluation & Optimization
✅ Generative AI
- Large Language Models (LLMs)
- AI Agents
- Retrieval Augmented Generation (RAG)
✅ Prompt Engineering
- Prompt Design Techniques
- Chain-of-Thought Prompting
- Context Management
- AI Workflow Automation
✅ Deep Learning
- Neural Networks
- CNN
- RNN
- Transformer Architecture
✅ Natural Language Processing (NLP)
- Text Processing
- Sentiment Analysis
- Chatbot Development
✅ MLOps
- Model Versioning
- Experiment Tracking
- CI/CD for Machine Learning
- Model Monitoring
✅ Cloud Deployment
- AWS / Azure / Google Cloud
- Docker & Containerization
- API Development using FastAPI or Flask
- Model Deployment & Scaling
✅ Data Analysis & Visualization
- NumPy
- Pandas
- Matplotlib
- Power BI / Tableau (Preferred)
Selection Preference
Candidates with hands-on project experience in:
- LLM Applications
- Generative AI Solutions
- AI Chatbots
- Computer Vision
- Predictive Analytics
- Cloud-Deployed AI Applications
will be given preference during the selection process.
Important Note
This internship is designed for candidates who already possess foundational AI/ML knowledge and are looking to gain real-world project experience. Candidates requiring additional skill development may be considered for structured learning and mentorship programs before being assigned to advanced industry projects.
Pay: ₹5,000.00 - ₹15,000.00 per month
Application Question(s):
- How would you rate your current knowledge of Artificial Intelligence and Machine Learning?
Advanced
Intermediate
Beginner
No prior experience but highly interested in learning
- If you do not possess sufficient practical knowledge in Artificial Intelligence, Machine Learning, Generative AI, Prompt Engineering, Large Language Models (LLMs), MLOps, or Cloud Deployment, you may be required to undergo additional technical training before being assigned to live projects. This training program is fee-based.
Are you willing to participate in such a training program if recommended based on your technical assessment?
○ Yes, I am willing to invest in my skill development.
○ No, I am only interested in internship opportunities.
○ I would like to discuss this further with your team before making a decision.
- This opportunity includes a structured training program if you do no have practical knowledge followed by internship exposure. Are you comfortable enrolling in a paid training program before the internship phase?
Options:
Yes, I am comfortable with the training program
I would like more details about the program
No, I am only looking for a free internship
- Which of the following technologies have you worked with? (Select all that apply)
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs) (e.g., Llama, GPT, Mistral)
AI Agents / Agentic AI
LangChain / LangGraph
Prompt Engineering & Prompt Optimization
Fine-Tuning of Large Language Models
Vector Databases (FAISS, Pinecone, ChromaDB, etc.)
MLOps (MLflow, Kubeflow, DVC, etc.)
Model Deployment (Docker, FastAPI, Flask, Azure, AWS, GCP)
Computer Vision (YOLO, OpenCV, Detectron2, etc.)
Natural Language Processing (Transformers, Hugging Face)
Deep Learning Frameworks (TensorFlow / PyTorch)
None of the above
- Have you completed any AI/ML projects?
I have built and deployed AI/ML applications independently.
I have completed academic or guided AI/ML projects.
I have basic AI/ML knowledge but need practical project experience.
I am new to AI/ML and looking to become industry-ready.
- What is your primary objective in applying for this internship?
I already have the required practical skills and am looking for an internship.
I want to bridge the gap between academic learning and industry requirements.
I want structured mentorship to become job-ready.
I am exploring opportunities to start my AI career.
Work Location: In person
