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6 days ago
Collaborate with our research and engineering team to develop cutting-edge AI/ML models. This includes implementing and testing algorithms in Python for applied AI/ML use cases, applying Data Structures and Algorithms (DSA) concepts to optimize code for efficiency, contributing to data preprocessing, feature engineering, and model evaluation pipelines, and working under the guidance of senior researchers and engineers to develop prototypes and POCs.
Key Responsibilities:- Develop and optimize AI/ML models in collaboration with the research and engineering team.
- Implement and test algorithms in Python for applied AI/ML use cases.
- Apply DSA concepts to optimize code for efficiency.
- Contribute to data preprocessing, feature engineering, and model evaluation pipelines.
- Work under the guidance of senior researchers and engineers to develop prototypes and POCs.
- Document technical processes and contribute to knowledge sharing within the team.
- Hands-on Python programming experience.
- Strong basics in AI/ML concepts (supervised and unsupervised learning, evaluation metrics, model training/testing workflows).
- Good understanding of Data Structures and Algorithms (DSA).
- Familiarity with popular ML libraries and frameworks (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch).
- Problem-solving mindset, eagerness to learn, and ability to work in a collaborative team environment.
- Final-year students, recent graduates, or postgraduates in Computer Science, Information Technology, Data Science, AI & ML, or related disciplines.
- Prior academic or project experience in AI/ML is desirable.
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