Are you looking for a Techasoft Python Development Internship to kickstart your career in AI and machine learning? Techasoft Private Limited is offering an exciting full-time Python development internship in Bangalore with a hybrid work model. This internship is ideal for candidates with 0–1 year of experience who are passionate about Python programming, AI/ML, and backend development.
As a Python Development intern at Techasoft, you will gain hands-on experience working on AI/ML projects, learning to preprocess datasets, train models, and develop Python-based applications that integrate cutting-edge AI technologies.
About Techasoft Private Limited
Techasoft Private Limited is a leading technology solutions provider focused on delivering intelligent software solutions tailored to client needs. With strong expertise in Python, AI, and machine learning, Techasoft tackles projects that other developers often consider complex. The company emphasizes agile development practices and a collaborative approach, ensuring interns gain valuable exposure to real-world software development challenges.
Role Overview – Python Development Internship
The Python Development Internship is designed to provide practical experience in AI and machine learning applications. Interns will work closely with senior developers and data scientists to build AI-driven tools and features.
Key Responsibilities
- Develop Python-based applications with AI/ML integration
- Work with machine learning models and datasets for training and evaluation
- Perform data preprocessing and implement model training pipelines
- Support development of AI-driven automation tools
- Integrate and work with APIs and backend services
- Test, debug, and optimize model performance
- Document code and technical workflows for team reference
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ducational & Technical Skills Required
Educational Qualification:
- Basic knowledge of Python programming
- Understanding of Machine Learning concepts
Technical Skills:
- Familiarity with NumPy, Pandas, Scikit-learn
- Knowledge of Deep Learning frameworks such as TensorFlow or PyTorch
- Experience in Natural Language Processing (NLP) or Computer Vision
- Understanding of REST APIs and backend integration
- Experience with Git/GitHub
- Basic knowledge of SQL or NoSQL databases
- Familiarity with OpenAI APIs or AI tools
Functional Skills:
- Strong analytical and problem-solving abilities
- Ability to collaborate with development teams
- Good communication skills to document and explain technical workflows
Who Can Apply
| Criteria | Details |
|---|---|
| Internship Type | Full-Time, In-Office |
| Start Date | Between 31st Mar’26 – 5th May’26 |
| Duration | 6 Months |
| Required Skills | Python, AI, ML, Django |
| Eligibility | Candidates with relevant skills and interest in AI/ML projects |
This internship is ideal for freshers or early-career professionals who want hands-on exposure to Python programming and machine learning technologies.
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Stipend & Benefits
For the Python Development Internship at Techasoft, interns will receive a stipend ranging from ₹13,000 – ₹15,000 per month. This internship offers the chance to gain exposure to:
- Real-world AI and Python development projects
- Hands-on experience with ML model training and deployment
- Mentorship from experienced developers
- Collaborative and agile work environment
- Career growth opportunities in Python and AI/ML domains
How to Apply
Interested candidates can apply by clicking the button below. Ensure your resume highlights:
- Python programming projects
- Any AI/ML or Django applications you’ve worked on
- Experience with machine learning libraries (NumPy, Pandas, TensorFlow, PyTorch)
- Knowledge of NLP or Computer Vision projects
- GitHub repositories, Kaggle profiles, or portfolio projects
📌 Tip: Showcase your ability to integrate AI/ML models with Python applications and explain your technical contributions clearly.
Disclaimer
This internship information is collected from official and publicly available sources. We do not charge any fees for applications, do not guarantee recruitment, and are not responsible for any losses arising from reliance on this information.
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