{"schemaVersion":"jobsearcher.job.v1","id":"9ba130b2434ee356bb866bc7","url":"https://jobsearcher.com/jobs/9ba130b2434ee356bb866bc7","canonicalUrl":"https://jobsearcher.com/jobs/9ba130b2434ee356bb866bc7","title":"Machine Learning Engineer","description":"About The CompanyMoody's Corporation is a globally recognized leader in credit ratings, research, and risk analysis. With a rich history of providing insights that help organizations make informed decisions, Moody's is committed to transforming how the world perceives and manages risk. The company fosters an inclusive environment that values diversity, innovation, and integrity, ensuring that every employee feels empowered to contribute their unique perspectives. As a pioneer in leveraging artificial intelligence and advanced data analytics, Moody's continues to develop innovative solutions that address complex financial and operational challenges faced by clients worldwide.About The RoleWe are seeking a highly skilled Machine Learning Engineer to join Moody's Machine Learning Technology team. In this role, you will be instrumental in developing and deploying scalable, robust machine learning and computer vision solutions that enhance our property intelligence products. Your expertise will help us analyze geospatial imagery, monitor environmental risks, and deliver actionable insights to our clients. This position offers a unique opportunity to work at the forefront of AI innovation, contributing to projects that influence strategic decision-making and operational efficiency across various sectors. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate complex data into meaningful solutions that support Moody's mission of decoding risk and unlocking opportunities.QualificationsAn advanced degree in Science, Technology, Engineering, or Mathematics (STEM) field is required, with a minimum of two years of industry experience in machine learning, data science, or related areas.Proficiency in Python programming, with experience using machine learning libraries such as NumPy, Pandas, PyTorch, and scikit-learn.Hands-on experience with machine learning operations, including CI/CD pipelines, model monitoring, and maintenance practices.Familiarity with modern ML tools and platforms like Jupyter, Docker, Git, and cloud services such as AWS or Google Cloud Platform.Experience in building data pipelines for ETL processes, extracting data from SQL and NoSQL databases, and performing advanced data analysis.Knowledge of geographic information systems (GIS) is preferred.Excellent communication skills, capable of articulating complex technical concepts to both technical and non-technical audiences.Deep understanding of supervised and unsupervised machine learning algorithms, including advanced topics like active learning and computer vision.Proven leadership in implementing AI solutions that drive strategic transformation, operational efficiency, and responsible AI governance.ResponsibilitiesDesign, develop, and implement scalable machine learning and computer vision models that improve product capabilities and deliver measurable value to clients.Collect, clean, preprocess, and analyze data to support model training and maximize data utility.Create visualizations and conduct exploratory data analysis to identify patterns, trends, and data quality issues.Train, evaluate, and refine machine learning models, ensuring alignment with business objectives and product requirements.Design and automate large-scale model training, deployment, and evaluation pipelines to streamline workflows.Collaborate closely with data scientists, software engineers, product teams, and stakeholders to develop innovative solutions.Communicate technical findings and insights through clear documentation, presentations, and reports to diverse audiences.Design experiments to validate hypotheses, improve model performance, and support data-driven decision-making processes.Ensure all projects adhere to governance, security, ethical AI standards, and responsible data use policies, while proactively identifying operational inefficiencies and risks.BenefitsMoody's offers a comprehensive benefits package designed to support the health, well-being, and financial security of our employees. This includes competitive medical, dental, and vision insurance plans, parental leave, paid time off, and a 401(k) plan with employer contributions. Employees also have access to life, disability, and accident insurance, along with tuition reimbursement programs to support continuous learning and development. The company promotes a healthy work-life balance and provides opportunities for career growth through ongoing training, mentorship, and internal mobility. Additionally, Moody's fosters an inclusive workplace culture that values diversity and encourages innovation, ensuring that every employee’s contributions are recognized and valued.Equal OpportunityMoody's Corporation is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, or expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. We also provide reasonable accommodations for applicants with disabilities or sincerely held religious beliefs, in accordance with applicable laws. Our goal is to foster a workplace where everyone feels valued, respected, and empowered to contribute to our collective success.","company":"Futurepillar","rawCompany":"futurepillar","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-11T09:16:20.884Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"About The CompanyMoody's Corporation is a globally recognized leader in credit ratings, research, and risk analysis. With a rich history of providing insights that help organizations make informed decisions, Moody's is committed to transforming how the world perceives and manages risk. The company fosters an inclusive environment that values diversity, innovation, and integrity, ensuring that every employee feels empowered to contribute their unique perspectives. As a pioneer in leveraging artificial intelligence and advanced data analytics, Moody's continues to develop innovative solutions that address complex financial and operational challenges faced by clients worldwide.About The RoleWe are seeking a highly skilled Machine Learning Engineer to join Moody's Machine Learning Technology team. In this role, you will be instrumental in developing and deploying scalable, robust machine learning and computer vision solutions that enhance our property intelligence products. Your expertise will help us analyze geospatial imagery, monitor environmental risks, and deliver actionable insights to our clients. This position offers a unique opportunity to work at the forefront of AI innovation, contributing to projects that influence strategic decision-making and operational efficiency across various sectors. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate complex data into meaningful solutions that support Moody's mission of decoding risk and unlocking opportunities.QualificationsAn advanced degree in Science, Technology, Engineering, or Mathematics (STEM) field is required, with a minimum of two years of industry experience in machine learning, data science, or related areas.Proficiency in Python programming, with experience using machine learning libraries such as NumPy, Pandas, PyTorch, and scikit-learn.Hands-on experience with machine learning operations, including CI/CD pipelines, model monitoring, and maintenance practices.Familiarity with modern ML tools and platforms like Jupyter, Docker, Git, and cloud services such as AWS or Google Cloud Platform.Experience in building data pipelines for ETL processes, extracting data from SQL and NoSQL databases, and performing advanced data analysis.Knowledge of geographic information systems (GIS) is preferred.Excellent communication skills, capable of articulating complex technical concepts to both technical and non-technical audiences.Deep understanding of supervised and unsupervised machine learning algorithms, including advanced topics like active learning and computer vision.Proven leadership in implementing AI solutions that drive strategic transformation, operational efficiency, and responsible AI governance.ResponsibilitiesDesign, develop, and implement scalable machine learning and computer vision models that improve product capabilities and deliver measurable value to clients.Collect, clean, preprocess, and analyze data to support model training and maximize data utility.Create visualizations and conduct exploratory data analysis to identify patterns, trends, and data quality issues.Train, evaluate, and refine machine learning models, ensuring alignment with business objectives and product requirements.Design and automate large-scale model training, deployment, and evaluation pipelines to streamline workflows.Collaborate closely with data scientists, software engineers, product teams, and stakeholders to develop innovative solutions.Communicate technical findings and insights through clear documentation, presentations, and reports to diverse audiences.Design experiments to validate hypotheses, improve model performance, and support data-driven decision-making processes.Ensure all projects adhere to governance, security, ethical AI standards, and responsible data use policies, while proactively identifying operational inefficiencies and risks.BenefitsMoody's offers a comprehensive benefits package designed to support the health, well-being, and financial security of our employees. This includes competitive medical, dental, and vision insurance plans, parental leave, paid time off, and a 401(k) plan with employer contributions. Employees also have access to life, disability, and accident insurance, along with tuition reimbursement programs to support continuous learning and development. The company promotes a healthy work-life balance and provides opportunities for career growth through ongoing training, mentorship, and internal mobility. Additionally, Moody's fosters an inclusive workplace culture that values diversity and encourages innovation, ensuring that every employee’s contributions are recognized and valued.Equal OpportunityMoody's Corporation is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, or expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. We also provide reasonable accommodations for applicants with disabilities or sincerely held religious beliefs, in accordance with applicable laws. Our goal is to foster a workplace where everyone feels valued, respected, and empowered to contribute to our collective success.","datePosted":"2026-09-11T09:16:20.884Z","dateModified":"2026-09-11T09:16:20.884Z","hiringOrganization":{"@type":"Organization","name":"Futurepillar","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9ba130b2434ee356bb866bc7"},"url":"https://jobsearcher.com/jobs/9ba130b2434ee356bb866bc7"}}