AI / ML Developer

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.