Data Scientist

Requirements:

• 4+ years of hands-on experience in data science and machine learning, with a solid track record of delivering successful projects.
• Strong analytical and problem-solving skills, with the ability to manage large, complex datasets.
• Proficient in Python, with hands-on experience in libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Experience in Convolutional Neural Networks, Transformers, Transfer Learning from LLMs to SLMs (Smaller Language Migration).
• Experience with NLP techniques and deep learning models, including CNNs, RNNs, Transformers, and LLMs, especially in tasks like classification and sentiment analysis.
• Proven experience in deploying machine learning models in production environments.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies like Docker and Kubernetes is a plus.
• Excellent communication skills and the ability to work effectively in collaborative team environments.
• Bachelors or masters degree in computer science, or a related field.