This job is with S&P; Global, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 Job Description Responsibilities : - Develop and implement machine learning models and algorithms for large scale machine learning projects. - Collaborate with data scientists and software engineers to design and deploy scalable machine learning solutions. - Conduct data analysis and feature engineering to extract valuable insights from large datasets. - Optimize and fine-tune machine learning models to improve performance and accuracy. - Stay up-to-date with the latest advancements in machine learning and apply them to enhance existing models. - Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions on time. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Experience in AWS Cloud Stack - Robust programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. - Coding experience in Python (Expert Level) to write robust and high standard Machine Learning code; experience with version control (preferably Git) - Hands on project lifecycle experience, from business analysis to productization - Experience working with databases (e.g. SQL) - Solid understanding of machine learning algorithms and techniques, including deep learning, natural language processing, and computer vision. - Experience working on large scale machine learning projects, handling big data, and distributed computing frameworks like Hadoop or Spark. - Proficient in data manipulation, data preprocessing, and feature engineering. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. People Sills - Able to translate business problems into problems that can be solved