Data Scientist

Key Responsibilities : Design and develop machine learning models and algorithms to solve business problems Write clean, efficient, and reusable Python code for data processing and model deployment Collaborate with data engineers and product teams to integrate models into production systems Analyze large datasets to derive insights, trends, and patterns Evaluate model performance and continuously improve through retraining and tuning Create dashboards, reports, and data visualizations as needed Maintain documentation and ensure code quality and version control Preference Must have hands-on experience in building, training, and deploying AI/ML models using relevant frameworks and tools within a Linux environment. Strong proficiency in Python with hands-on experience in data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, etc.) Experience working with Hugging Face Transformers , spaCy, ChatGPT (OpenAI APIs), and DeepSeek LLMs for building NLP or generative AI solutions Solid understanding of machine learning, statistics, and data modeling Experience with data preprocessing, feature engineering, and model evaluation Familiarity with SQL and working with structured/unstructured data Knowledge of APIs, data pipelines, and cloud platforms (AWS, GCP, or Azure) is a plus