Data Scientist 1

• Develop and implement machine learning and deep learning algorithms for various projects.
• Work on natural language processing (NLP) tasks including sentiment analysis named entity recognition and language generation.
• Collaborate with crossfunctional teams to understand business requirements and translate them into data science solutions.
• Perform data analysis cleansing and preprocessing to extract meaningful insights from diverse datasets.
• Build and deploy object detection models for image and video analysis.
• Utilize web scraping techniques to gather data from various sources.
• Develop and maintain databases including MySQL and MongoDB for efficient data storage and retrieval.
• Use version control systems like Git and DVC to manage codebase and track changes.
• Create and maintain APIs using Flask FastAPI Gradio and Streamlit for seamless integration of models into applications.
• Implement and experiment with models using popular frameworks such as TensorFlow and PyTorch.
• Employ Pandas NumPy and scikitlearn for data manipulation analysis and machine learning tasks.
• Leverage Langchain OpenAI Transformers and Diffusers for advanced natural language processing and generative AI applications.
• Collaborate with the team to establish and maintain best practices for MLops (Machine Learning Operations).
• Stay updated on the latest advancements in data science and machine learning technologies.

• 13 years of handson experience in data science and machine learning.
• Proficient in Python and SQL programming languages.
• Strong knowledge of operating systems including Windows and Ubuntu.
• Experience working with MySQL and MongoDB databases.
• Familiarity with version control systems especially Git and DVC.
• Practical experience with Flask FastAPI Gradio and Streamlit for building web applications.
• Solid understanding of machine learning algorithms deep learning architectures and NLP techniques.

machine learning,transformer,nlp