Staff Data Scientist

4 days ago

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Oil & Gas • Healthcare • Intelligent Platforms • Renewable Energy • Transportation

10,000+

Description

• Design, develop, and implement machine learning models and algorithms. • Conduct experiments to evaluate model performance and iterate on model improvements. • Collect, preprocess, and analyze large datasets to be used for training and testing machine learning models. • Ensure data quality and integrity throughout the data pipeline. • Work with unstructured data, including images, video, and text. • Deploy machine learning models into production environments. • Monitor and maintain deployed models to ensure they perform as expected. • Experience with state-of-the-art computer vision model models. • Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). • Ensure efficient data retrieval and augmentation processes to support LLM training and inference. • Collaborate with data scientists to optimize RAG and LLM pipelines for performance and accuracy. • Utilize semantic and ontology technologies to enhance data integration and retrieval. • Ensure data is semantically enriched to support advanced analytics and machine learning models. • Work closely with data architects, data engineers, and other stakeholders to understand business requirements and translate them into technical solutions. • Provide technical support and guidance on machine learning-related issues. • Optimize machine learning models for performance, scalability, and efficiency. • Implement techniques to improve model accuracy and reduce computational costs. • Stay up to date with the latest advancements in machine learning and artificial intelligence. • Explore and implement new machine learning techniques and tools to enhance the team's capabilities. • Maintain comprehensive documentation of machine learning models, algorithms, and processes. • Ensure knowledge transfer and continuity within the team.

Requirements

• Bachelor’s degree from accredited university or college with minimum of 4 years of professional experience OR associate's degree with minimum of 7 years of professional experience OR High School Diploma with minimum of 9 years of professional experience • Proficiency in Python (mandatory). • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. • Understanding of computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). • Experience with handling unstructured data, including images, videos, and text. • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. • Experience with data preprocessing and augmentation tools. • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn) is a plus. • Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities. • Ability to work in a fast-paced, dynamic environment.