Singularis Software Technologies (Estd. 2009) is offering a
structured, career-focused Data Science & AI Internship
for freshers who want to build a solid future in:
Data Science
Artificial Intelligence
Machine Learning & Deep Learning
Generative AI & LLMs
Python Development
Data Analytics
Full Stack / Software Testing (optional tracks)
This program is designed for candidates who are
truly interested in learning advanced AI skills
, not just seeking basic training or a free internship certificate.
You will work on
real datasets
, learn
modern AI workflows
, and build
industry-level project experience
under mentor guidance.
Advanced Technical Modules Included
Python for Data Engineering
Functional + OOP programming
API Integration (REST / FastAPI basics)
Asynchronous workflows (async/await)
Automation pipelines (ETL-style scripts)
NumPy, Pandas, SciPy, PyCaret (end-to-end usage)
Modular code architecture for AI projects
2. Professional Data Analysis & BI Tools
Advanced Pandas & feature engineering
Visualizations using Matplotlib, Seaborn, Plotly
Automated EDA tools (SweetViz, YData Profiling)
MultiIndex, windowing, merging, reshaping data
Visual storytelling with Matplotlib, Seaborn, Plotly
Feature engineering for ML-ready datasets
Real industry-grade data cleaning
3. SQL + Mini Data Engineering
CTEs, Window Functions, Joins
Query optimization basics
Mini-ETL process
AWS RDS workflow
Joins, CTEs, Window Functions
Performance optimization basics
Data modeling & ETL mini workflows
Using PostgreSQL / MySQL in AI pipelines
4. Modern Machine Learning & Deep Learning
End-to-end ML pipelines
Model tuning & evaluation
DL with TensorFlow/Keras
Train-test workflows
Hyperparameter tuning
Cross-validation & metrics
Neural Networks using TensorFlow/Keras
Building reusable ML pipelines
5. Reinforcement Learning (Exclusive)
Agent-environment setup
Reward mechanisms
Mini RL simulation
Policy learning concepts
6. Generative AI + LLM Development (Unique Module)
S3, EC2, Lambda
Deployment fundamentals
Model deployment workflows
8. R&D-Oriented Enhancements
Git/GitHub
Intro to MLOps concepts
Git & GitHub workflow for AI
Model interpretability (SHAP basics)
Dataset & model versioning (DVC introduction)
Portfolio and documentation guidance
SHAP & model interpretation basics
DVC intro
Industry portfolio building
STIPEND BASED R&D INTERNSHIP TRACK (For Highly Skilled Candidates Only)
Candidates who already have
strong practical skills
in advanced areas such as:
LLMs / RAG / LangChain
YOLOv8 / Computer Vision
Deep Learning
Reinforcement Learning
Advanced Python automation
Full Stack + AI integration
can apply to the
R&D track
, but requires clearing a
technical skill test
.
WHO SHOULD APPLY:
This internship is ideal for:
Freshers from any academic background who want to
start their AI/Data Science journey seriously
2022 / 2023 / 2024 / 2025 graduates
Final-year students
Candidates who want
structured learning + real project work
Learners willing to build strong foundations before entering advanced AI roles
Candidates who are interested in
advanced AI topics.
IMPORTANT PROGRAM INFORMATION:
This internship includes structured
learning modules + guided projects
, essential for developing industry-ready skills.
These learning modules involve a
program cost
for candidates joining the Learning Track.
Full details will be shared during the
orientation/counseling call
.
Placement support is offered after successful completion of all internship requirements.
Are you genuinely interested in building a career in AI, Data Science, or Python? Yes / No
Have you already completed Data Science/AI training from another institute? Yes / No
Which track are you applying for?
Learning + Internship Track
Which area are you most interested in?
Data Science
AI / Generative AI
Python Programming
Data Analysis
Full Stack Development
Software Testing
Can you attend the internship on-site at Palarivattom, Kochi?
Yes / No
When can you start the internship?
Immediately
Within 1 week
Within 1 month
Are you ready to complete weekly tasks, assignments, and mentor-guided project work?
Yes / No
Why are you interested in this internship?
(Short written answer)
This internship includes structured learning modules with a program cost. Are you open to receiving details during the orientation/counseling call?
Yes / No
Work Location: In person
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