Responsibilities
- Collect, preprocess, and analyze datasets for training machine learning models.
- Design, develop, and implement algorithms in areas such as classification, regression, clustering, and NLP.
- Work with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, and Pandas.
- Collaborate with developers to integrate AI models into web applications or software.
- Design, build, and maintain workflow automations using n8n, Zapier, and Integromat (formerly Make).
- Conduct performance evaluation and optimization of ML models.
- Stay updated with emerging trends and research in AI, deep learning, and data science.
Requirements
- Strong foundation in Python programming and libraries like NumPy, Pandas, and Matplotlib.
- Basic understanding of machine learning algorithms (supervised and unsupervised).
- Familiarity with TensorFlow, Keras, or PyTorch frameworks.
- Knowledge of data preprocessing, feature engineering, and model evaluation.
- Understanding of statistics, linear algebra, and probability concepts.
- Good problem-solving and analytical thinking skills.
- Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields.
This job was posted by Anjali Choudhary from Kognify Matrix Labs.
