AI Engineer Intern
LucentraCode
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Deep learningMachine learningNLPData structures & algorithmsPyTorchTensorFlow
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning41%NLP12%Data structures & algorithms11%Deep learning10%of 99 similar fresher jobs posted in India this week
- Listed
- 31 Oct 2026 · still open
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About the Role
Lucentra Labs is an emerging technology company focused on building practical AI solutions for real-world problems. The team works on end-to-end development of intelligent systems, from research and prototyping to deployment in production environments. Applicants can expect a collaborative environment that values curiosity, experimentation, and clear, measurable impact. The company encourages learning, hands-on exploration of modern AI tools, and participation in projects that bridge academic concepts with industry applications.
The AI Engineer Intern will work full-time on-site at Lucentra Labs’ office in West Delhi, contributing to the design, implementation, and testing of AI models and supporting software components.
Key Responsibilities
- Collecting and preparing datasets.
- Experimenting with pattern recognition and neural network architectures.
- Developing prototype applications that integrate machine learning and NLP capabilities.
- Assisting in writing clean, documented code.
- Running evaluations and analyzing model performance to suggest improvements.
- Collaborating with engineers and researchers on problem definition, solution design, and code reviews.
- Preparing technical notes or brief reports on experiments and outcomes.
Requirements & Tech Stack
- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and version control.
- Knowledge of Pattern Recognition and Neural Networks.
- Familiarity with common machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Understanding of Natural Language Processing (NLP) concepts.
- Experience working with text-based datasets or NLP libraries is beneficial.
- Proficiency in at least one programming language commonly used in AI (such as Python).
- Ability to write clear, maintainable code.
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, or a related field.
- Ability to work on-site in West Delhi.
- Ability to collaborate effectively in a team.
- Ability to communicate technical ideas clearly in writing and speech.
- Curiosity to learn new tools and techniques.
- Problem-solving mindset.
- Openness to constructive feedback.