Opportunity brief
About the Internship:
We are looking for a passionate and highly motivated Machine Learning Engineer Intern to join our growing AI and Engineering team. This internship is ideal for students and freshers who want hands-on experience building real-world AI/ML systems, recommendation engines, intelligent automation tools, and scalable data-driven applications.
- As an ML Engineer Intern, you will work closely with developers, product teams, and data engineers to design, train, optimize, and deploy machine learning models for production-grade applications.
This is an excellent opportunity to gain practical exposure to:
- Machine Learning
- Deep Learning
- NLP
- Recommendation Systems
- AI-powered Products
- Data Engineering
- Model Deployment
- Generative AI
Roles & Responsibilities:
- Assist in developing and training Machine Learning models for real-world business problems
- Work on data preprocessing, feature engineering, and dataset preparation
- Build and optimize predictive models using Python and ML libraries
- Collaborate with backend and frontend teams to integrate AI/ML services into applications
- Perform data analysis and generate actionable insights
- Research and experiment with latest AI/ML technologies and frameworks
- Develop APIs and ML pipelines for scalable deployment
- Work on NLP, recommendation systems, ranking algorithms, or computer vision models
- Improve model accuracy, performance, and scalability
- Participate in code reviews, testing, debugging, and technical documentation
- Support automation and intelligent workflow systems
- Stay updated with latest trends in Artificial Intelligence and Machine Learning
Requirements:
- Pursuing or recently completed B.Tech, M.Tech, BE, ME, MCA, MSc, or equivalent degree in Computer Science, AI, Data Science, or related field
- Basic understanding of Machine Learning concepts and algorithms
- Strong programming skills in Python
- Familiarity with libraries such as:
- Scikit-learn
- Pandas
- NumPy
- TensorFlow / PyTorch
- Understanding of data structures and algorithms
- Knowledge of SQL and databases is a plus
- Familiarity with REST APIs and backend systems is an advantage
- Understanding of Deep Learning, NLP, or Generative AI is a bonus
- Good analytical and problem-solving skills
- Strong willingness to learn and adapt to new technologies
- Ability to work in a collaborative startup environment
Preferred Skills:
- Machine Learning
- Deep Learning
- Python
- TensorFlow
- PyTorch
- NLP
- Data Analysis
- SQL
- APIs
- Generative AI
- Recommendation Systems
- LLMs
- FastAPI
- Docker
- Git & GitHub
Perks & Benefits:
- Internship Certificate
- Letter of Recommendation
- Flexible Work Environment
- Hands-on Experience on Live Projects
- Mentorship from Experienced Engineers
- Opportunity for Full-Time PPO
- Exposure to Scalable Startup Systems
- Work on AI-powered Products used by real users
Internship Details:
- Internship Type: Full-time / Part-time
- Duration: 3 to 6 Months
- Location: Remote / Hybrid / Onsite
- Stipend: Competitive / Performance-Based
- Joining: Immediate
Why Join Us?
Join a fast-growing startup building scalable next-generation platforms in hiring, competitions, and student engagement. You'll get the opportunity to solve real engineering problems, work with modern technologies, and contribute directly to impactful AI products used at scale.