Artificial Intelligence And Machine Learning Intern
CRASH CONNECT
Tamil Nadu, IndiaFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data structures & algorithmsPythonRTroubleshootingStakeholder management
- Nice to have
- Machine learningPyTorchTensorFlowscikit-learn
- Work
- On-site in Tamil Nadu · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python66%Data structures & algorithms24%Troubleshooting4%of 99 similar fresher jobs posted in India this week
- Listed
- 6 Nov 2026 · still open
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About the Role
The Artificial Intelligence and Machine Learning Intern will support the design, development, and testing of AI models and data-driven solutions that enhance accident detection and emergency response capabilities for CRASH CONNECT's C.A.T.S (Crisis Alert Tech System). This is an internship role, based on-site in Tamil Nadu, India.
Key Responsibilities
- Collecting and preprocessing data.
- Experimenting with machine learning algorithms.
- Evaluating model performance.
- Assisting in deploying prototypes into the C.A.T.S ecosystem.
- Collaborating with engineers and product team members to translate safety requirements into technical specifications.
- Documenting findings.
- Continuously improving existing systems.
Qualifications
- Strong foundation in Computer Science and Data Science relevant to AI and safety-focused applications.
- Proficiency in Machine Learning concepts, including model development, evaluation, and optimization.
- Programming skills in languages commonly used for AI and data science (such as Python, R, or similar).
- Analytical skills for interpreting complex data, troubleshooting models, and drawing actionable insights.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related field.
- Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is an advantage.
- Ability to work collaboratively in an on-site environment.
- Ability to communicate ideas clearly to technical and non-technical stakeholders.
- Interest in road safety, smart vehicles, and applying technology to real-world impact and emergency response.