Backend & Machine learning Intern

Backend & Machine Learning Engineering Intern
Pravaak Technologies
Location: Mumbai / Hybrid
Duration: 3–6 Months
Experience: Freshers / Students
Stipend: ₹5,000/month initially
Compensation Revision: Stipend will be reviewed after the first month based on performance and contribution
Employment Type: Internship
Eligibility: Final-year students and recent graduates are welcome to apply
About Pravaak Technologies
Pravaak Technologies is a technology-focused company working on building practical software solutions using modern backend engineering and data-driven technologies.
We are looking for a Backend & Machine Learning Engineering Intern who wants to work on real projects, write production-oriented code, and gain hands-on experience with backend systems and machine learning.
This role is particularly suited for students who enjoy backend development, problem-solving, data, algorithms, and building things from scratch.
About the Role
As a Backend & Machine Learning Engineering Intern, you will work closely with the technical team to develop and improve backend systems using Node.js and Go (Golang).
The role will also involve working with machine learning algorithms to identify patterns, trends, anomalies, and relationships within data.
You will get exposure to the complete development cycle — from understanding a requirement and designing an API to implementing the solution, testing it, working with databases, and deploying or integrating it into a larger system.
This is a hands-on technical role with a strong focus on learning through actual implementation.
What You Will Do
Backend Engineering
Develop and maintain backend services using Node.js and Go (Golang)
Build and integrate REST APIs
Work with databases and design efficient data-access logic
Implement authentication, validation, business logic, and API integrations
Debug and resolve backend issues
Write clean, modular, and maintainable code
Work with Git and follow basic software development practices
Test APIs and backend functionality before deployment
Understand and contribute to existing backend codebases
Machine Learning & Data
Work with datasets to identify meaningful patterns and relationships
Implement machine learning algorithms for pattern detection and data analysis
Perform data preprocessing and feature engineering
Experiment with different ML approaches and evaluate their performance
Work on applications involving classification, clustering, anomaly detection, prediction, or other pattern recognition problems
Integrate ML models or analytical outputs into backend applications
Analyse results and communicate technical findings to the team
Engineering & Development
Participate in technical discussions and development planning
Research technologies and approaches when required
Troubleshoot bugs and improve existing implementations
Document technical work and development decisions
Continuously improve code quality, performance, and reliability
Work independently on assigned tasks while collaborating with the technical team
What We Are Looking For
Strong fundamentals in programming and problem solving
Basic to intermediate knowledge of Node.js
Willingness to learn and work with Go/Golang
Understanding of REST APIs and backend development
Basic knowledge of databases such as MongoDB, MySQL, or PostgreSQL
Understanding of fundamental Data Structures & Algorithms
Basic understanding of Machine Learning concepts
Familiarity with Python and ML libraries such as Pandas, NumPy, Scikit-learn is a plus
Familiarity with Git/GitHub
Ability to understand existing code and debug problems
Good logical and analytical thinking
Strong willingness to learn
Good to Have
Previous backend development projects
Experience building APIs using Node.js/Express
Exposure to Go/Golang
Knowledge of Python and machine learning
Experience working with real-world datasets
Knowledge of Docker or cloud platforms
Familiarity with PostgreSQL/MongoDB
Personal projects, GitHub repositories, hackathon projects, or open-source contributions
We care more about your ability to learn and build than the number of technologies listed on your resume.
Who Can Apply?
Final-year B.Tech / B.E. / BCA / B.Sc. Computer Science / IT students
Recent graduates
Students with strong backend, programming, or ML projects
Candidates who can demonstrate their skills through GitHub, projects, hackathons, or technical work
Final-year students are encouraged to apply.
What You Will Gain
Hands-on experience with Node.js and Go
Real-world backend development experience
Exposure to Machine Learning and pattern detection
Experience working with databases and APIs
Experience working on real technical requirements
Understanding of software development workflows
Mentorship and technical guidance
Opportunity to work on projects that can strengthen your portfolio
Potential for increased stipend based on performance after the first month
Stipend & Performance Review
Starting Stipend: ₹5,000/month
The stipend will be reviewed after the first month based on performance, technical contribution, learning ability, quality of work, and ownership of assigned tasks.
Candidates who demonstrate strong performance may receive an increased stipend.
How to Apply
Interested candidates can share:
Updated Resume
GitHub profile
LinkedIn profile
Any relevant backend/ML projects

Work arrangement
No