Associate Director, Machine Learning Engineering

About the Role: Grade Level (for internal use): 12Job 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 - Strong 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 with Data Science - Able to communicate technical ideas effectively to non-technical audience - Ability to work in a team - Curious and open-minded attitude to new approaches About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it.