As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to improve our aerospace products and services. You will work closely with a team of engineers and data scientists to analyze large
Leidos is actively seeking a Data Scientist to join our growing team in St. Louis, MO. This interesting work requires staff qualified to have a basic understanding of GEOINT integration work but also act as a
Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of
NVIDIA is a worldwide technology company headquartered in Santa Clara, California. NVIDIA manufactures graphics processing units (GPUs), as well as system on a chip units (SOCs) for the expanding markets. Our work in visual computing, the
Data Annotation Quality Control Analyst- St. Louis Data Annotation Quality Control Analyst Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. Accuracy of the data used to train AI models is one of the biggest
Senior Data & Analytics Product Manager North America Are you a visionary data leader ready to revolutionize how a global giant connects with pet parents and consumers? At Royal Canin, a proud division of Mars, Incorporated,
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems - Prepares and
Data Scientist – eCommerce Search As a Data Scientist – eCommerce Search, you will play a pivotal role in building the next generation of intelligent, high-performing search experiences for our global eCommerce platforms (e.g., sigmaaldrich.com and
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using