AI/ML Interns
2 days ago
Responsibilities& Duties
- Collaborate with the data science team to explore and develop AI services related to language models and computer vision.
- Assist in the implementation of facial recognition technology for automated attendance systems.
- Support the development and optimization of language models for various applications.
- Contribute to the creation of AI-driven solutions for projects such as expense management.
- Conduct research on emerging AI trends and assist in integrating these trends into ongoing projects.
- Assist in data collection, cleaning, and preprocessing to ensure high-quality input for AI models.
- Help maintain clear documentation of project workflows, methodologies, and findings to support team collaboration and future reference.
- Work with other teams, such as software engineering and product management, to ensure seamless integration of AI solutions into existing systems.
Skill-setwe are looking for
Soft Skills:
- Strong communication skills.
- Analytical Thinking.
- Problem-Solving.
- Adaptability.
- Attention to Detail.
Tools/Software Knowledge:
- Python: Basic understanding for AI/ML development.
- TensorFlow/PyTorch: Familiarity with deep learning frameworks at least one.
- OpenCV: Basic knowledge of computer vision for facial recognition.
- NLP Tools: Understanding of NLP libraries like NLTK/SpaCy.
- Git/GitHub: Familiarity with version control for collaboration.
- Jupyter Notebooks: Experience for prototyping and data visualization.
- Flask/FastAPI: basic API/webapp knowledge.
Must have Technical Skills & Qualifications:
- A bachelors degree in computer science, or a related field.
- Final year students can also apply.
- Basic understanding of machine learning algorithms.
- Knowledge of Python and relevant ML frameworks like TensorFlow or PyTorch.
- Familiarity with computer vision libraries (OpenCV) and NLP tools.
- Some experience with data preprocessing and working with datasets.
Preferred Skills:
- Experience with version control (GitHub).
- Basic understanding of AI ethics and privacy concerns.
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