Internship, Machine Learning Engineer

About the Role

Caleedo is an IoT and technology company building intelligent solutions for healthier, smarter and more efficient workplaces. We are looking for an enthusiastic AI/ML Engineering Intern who wants to work on real-world problems involving sensor data, machine learning, predictive analytics and AI-powered applications.

• Work Type - Internship
• Work Mode - Work from Office
• Working Days - 5 Days a Week
• Internship Duration - 6 Months
• Location - New Delhi

Key Responsibilities

• Machine Learning & Predictive Analytics
• Work on ML models using real-world IoT sensor data.
• Develop predictive models for air quality trends, anomalies and environmental patterns.
• Explore time-series forecasting and predictive maintenance use cases.
• Experiment with classification, regression and clustering algorithms.
• Data Engineering & Processing
• Collect, clean, preprocess and analyse large datasets.
• Work with structured and unstructured data.
• Identify patterns, correlations and actionable insights from sensor readings.
• Build data pipelines to support ML model development.
• AI Integration
• Explore LLMs, Generative AI and AI agents for practical business applications.
• Experiment with AI frameworks and APIs to build intelligent applications.
• Explore RAG-based applications and AI-powered analytics.
• Leverage AI coding assistants to improve development productivity.
• Model Development & Deployment
• Train, evaluate and optimise machine learning models.
• Collaborate with the software engineering team to integrate ML models into existing applications.
• Work with Python-based APIs and deployment environments.
• Monitor model performance and continuously improve accuracy.

Requirements & Tech Stack

• Strong programming fundamentals in Python.
• Basic understanding of Machine Learning concepts and algorithms.
• Familiarity with libraries such as Pandas, NumPy and Scikit-learn.
• Understanding of data structures, statistics and data visualisation.
• Basic knowledge of SQL and REST APIs.
• Familiarity with Git/GitHub.

Good to Have

• Exposure to TensorFlow or PyTorch.
• Understanding of Deep Learning, NLP and Large Language Models.
• Experience with time-series data and forecasting.
• Exposure to LangChain, LlamaIndex or similar AI frameworks.
• Familiarity with cloud platforms such as GCP or AWS.
• Personal projects, academic projects or GitHub repositories demonstrating practical ML work.

Who Should Apply?

We are looking for someone who:

• Is genuinely passionate about AI and Machine Learning.
• Enjoys solving problems and experimenting with new technologies.
• Has a strong willingness to learn and take ownership.
• Can think independently and translate ideas into working prototypes.
• Is comfortable working in a fast-paced, high-growth startup environment.
• Actively explores AI tools and knows how to leverage them in day-to-day work.

Most importantly, we value curiosity, problem-solving ability and the willingness to build over just theoretical knowledge.

What You Will Gain

• Hands-on experience working with real-world IoT datasets.
• Opportunity to build and deploy ML models used in actual business applications.
• Exposure to AI-driven product development and emerging technologies.
• Opportunity to work closely with the technology leadership team.
• A steep learning curve and potential opportunities for long-term association based on performance.