Machine Learning Engineer Internship
Fortune Analytics
RemoteFresher5m agovia Unstop
This job at a glance
- Who can apply
- Freshers and up to 1 year · B.Tech / B.E., M.Tech, MCA or M.Sc
- Must know
- Data structures & algorithmsComputer visionscikit-learnPandasNumPyFastAPI
- Nice to have
- Machine learningDeep learningNLPLLMs
- Work
- Remote · internship
- Pay
- ₹5,000/month
- Skill demand
- Data structures & algorithms27%Pandas18%scikit-learn14%Computer vision7%of 99 similar fresher jobs posted in India this week
- Listed
- 2 Nov 2026 · still open
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About the Internship
- Looking for a passionate and highly motivated Machine Learning Engineer Intern.
- Ideal for students and freshers seeking hands-on experience building real-world AI/ML systems, recommendation engines, intelligent automation tools, and scalable data-driven applications.
- Will work closely with developers, product teams, and data engineers to design, train, optimize, and deploy machine learning models for production-grade applications.
- Excellent opportunity to gain practical exposure to:
- Machine Learning
- Deep Learning
- NLP
- Recommendation Systems
- AI-powered Products
- Data Engineering
- Model Deployment
- Generative AI
Key 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 & Tech Stack
- 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
Internship Details
- Internship Type: Full-time / Part-time
- Duration: 3 to 6 Months
- Location: Remote / Hybrid / Onsite
- Stipend: Competitive / Performance-Based
- Joining: Immediate
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