If you’re passionate about Artificial Intelligence and want hands-on experience with real-world projects, Solvative is hiring a Python AI/ML Intern for a remote role.
This opportunity is perfect for freshers and students who want to build a strong foundation in machine learning, data analysis, and AI systems while working under experienced mentors. With flexible work options and real project exposure, this internship can be a great stepping stone into the AI field.
About the Company
Solvative is a technology-driven company with its development center in Ahmedabad and headquarters in Dallas. The company focuses on building innovative digital solutions, including AI-powered systems, for global clients.
Solvative provides a collaborative environment where interns can learn, experiment, and grow while working on meaningful projects that have real-world impact.
Role Overview
As a Python AI/ML Intern, you will assist in developing machine learning models, working with datasets, and contributing to AI-driven applications. This role is highly practical and focuses on building your skills through hands-on experience rather than just theoretical learning.
You will collaborate with experienced developers and data scientists to understand project requirements and deliver AI-based solutions.
Responsibilities
- Assist in developing and training machine learning models using Python
- Perform data cleaning, preprocessing, and analysis
- Implement ML algorithms for tasks like prediction and classification
- Evaluate model performance and improve accuracy
- Work on AI projects such as recommendation systems and analytics tools
- Collaborate with team members to deliver project solutions
- Document code, learnings, and project outcomes
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Who Can Apply
| Criteria | Details |
|---|---|
| Education | B.Tech / B.Sc / related fields (CS, AI, Data Science) |
| Experience | Freshers / Students |
| Location | Remote (India) |
| Skills | Python, ML basics |
| Eligibility | Final year students or recent graduates |
Salary (Market Estimate) 💰
For the Solvative Python AI/ML Intern role, the expected stipend is:
- Internship Stipend: ₹10,000 – ₹25,000 per month (estimated)
- Top performers (with PPO): ₹4 LPA – ₹8 LPA (full-time conversion)
👉 Note: Stipend may vary based on skills, performance, and project contribution.
Preferred Skills
- Basic to intermediate knowledge of Python
- Understanding of Machine Learning fundamentals
- Knowledge of Data Structures & Algorithms
- Familiarity with libraries like NumPy, Pandas, Matplotlib
- Basic experience with Scikit-learn, TensorFlow, or PyTorch
- Knowledge of SQL and Git/GitHub
- Interest in Deep Learning, NLP, or Computer Vision
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Quick Insight 📊
- Strong opportunity for AI/ML beginners
- Remote role → great flexibility
- High growth field → AI/ML roles pay significantly higher long-term
- PPO potential makes it valuable for freshers
What You’ll Get
- Hands-on experience with real AI/ML projects
- Mentorship from industry professionals
- Exposure to modern ML tools and workflows
- Flexible work environment (remote)
- Chance to convert into a full-time role
- MacBook and additional perks (as mentioned by company)
How to Apply
To improve your chances of selection, focus on building a strong AI/ML profile:
- Create projects like prediction models, chatbots, or recommendation systems
- Showcase your work on GitHub with proper documentation
- Highlight your knowledge of Python and ML libraries
- Practice basic DSA and problem-solving skills
Before applying, ensure your resume clearly reflects your AI/ML interest and practical experience. Even small projects can make a big difference if presented well.
Prepare for interviews by revising ML basics, Python coding, and simple data analysis problems.
To apply, click the apply button provided with the job listing and follow the instructions carefully.
Disclaimer
This job information is collected from official or public sources. We do not charge any fees for job applications and do not provide recruitment guarantees. We are not responsible for any loss or damage arising from reliance on this information.
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