Research Intern
ObjectBrain
Bhubaneswar, Odisha, IndiaFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Machine learningPythonDeep learning
- Nice to have
- scikit-learnPandasNumPyPyTorch
- Work
- On-site in Bhubaneswar · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python17%Machine learning13%Deep learning6%of 99 similar fresher jobs posted in India this week
- Listed
- 4 Nov 2026 · still open
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About the Role
- Explore emerging concepts in artificial intelligence.
- Study existing research and understand the mathematical and computational foundations of intelligent systems.
- Contribute to ongoing research initiatives.
- Participate in technical discussions, investigate research problems, reproduce existing experiments, develop prototypes, and contribute to research documentation.
- Intended for individuals genuinely interested in understanding how intelligent systems work and developing new approaches to intelligence.
Key Responsibilities
- Research and investigate emerging concepts in Artificial Intelligence and Machine Learning.
- Study and analyse academic papers, research publications, and existing AI architectures.
- Explore topics related to continual learning, adaptive systems, persistent memory, knowledge representation, and reasoning.
- Understand and experiment with mathematical foundations of machine learning.
- Assist in designing, implementing, and evaluating research experiments.
- Develop experimental implementations and proof-of-concept systems using Python and relevant ML frameworks.
- Analyse experimental results and document observations.
- Contribute to technical reports, research documentation, and potential research publications.
- Participate in internal research discussions, brainstorming sessions, and collaborative problem-solving.
Research Areas
Depending on your interests and technical strengths, you may contribute to one or more of the following areas:
- Foundational Artificial Intelligence
- Machine Learning and Deep Learning
- Continual Learning and Online Learning
- Adaptive Learning Systems
- Memory Architectures and Persistent Knowledge
- Cognitive Systems and Computational Intelligence
- Reasoning and Knowledge Representation
- Neural Network Architectures
- Multimodal Intelligence
- Intelligent Systems and AI Architectures
Requirements & Tech Stack
- Python
- Relevant ML frameworks
Qualifications
- Currently pursuing or recently completed an undergraduate or postgraduate degree in Computer Science, Artificial Intelligence, Mathematics, Data Science, Electronics, or a related discipline.
- Basic understanding of programming and computational concepts.
- Familiarity with Python.
- Interest in Artificial Intelligence and Machine Learning.
- Willingness to read technical documentation and academic research papers.
- Ability to approach problems analytically and think independently.
- Strong curiosity and willingness to learn.
Preferred Skills
- NumPy, Pandas, Matplotlib, and Scikit-learn.
- PyTorch or TensorFlow.
- Linear Algebra, Calculus, Probability, and Statistics.
- Data Structures and Algorithms.
- Experience with Google Colab, Git, and GitHub.
- Previous academic projects, technical experiments, or research experience.