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We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We've received recognition as a global Best Places to Work and a recipient of many prestigious awards for diversity, equity, and inclusion, including a DiversityInc Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.
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AI and ML: Strong interest in artificial intelligence and machine learning principles including statistical analysis, model creation and application of custom analytical models. In-depth knowledge of marketing automation ecosystem and various marketing channels used for demand generation, digital marketing, ABM, content marketing, email nurture, etc.
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Vadum Inc. is seeking a Machine Learning Engineer that will assist with the design and development of prototyping, concept design and analysis under direct (or limited) supervisor of a senior engineer.
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Working closely with our data & analytics team and clinical trial experts, this role will harness the power of cutting-edge AI and LLM (Machine Learning and Deep Learning) technologies for enhancing decision-making in the field of clinical trial process.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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Bachelor's degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) with specialization in data science, engineering or related field preferred.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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Collaborates with Machine Learning/Natural Language Processing (ML/NLP) engineers and data scientists to provide expert insights into real-world clinical decisions, coding, and interpretation of cases and findings.
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Proficiency in statistical methods (eg, linear regression, logistic regression, survival analysis, ARIMA), AI/machine learning techniques (eg, Random Forest, XGboost, Clustering, Neural Network, NLP, Image Recognition) and programming languages (eg, Python, R, SAS, SQL.
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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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Familiarity with machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn. Optimize machine learning models for performance and scalability. Experience with cloud-based database and analytics platforms, such as Snowflake or Databricks.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and rapidly seize new opportunities.
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Deep expertise in machine learning, natural language processing, and other AI technologies, with hands-on experience in building and deploying AI-driven products and solutions. As the Director of Applied AI, you will play a pivotal role in shaping the future of our company's solutions by harnessing the power of Artificial Intelligence and machine learning.
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The successful candidate is expected to have expertise in the area of Machine Learning/AI, Systems Modeling, Analytics, Quality, Operations and Supply Chain Management, and/or Information Systems and to have an interest in applying their expertise to the larger textile complex.
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Experience with containerization and orchestration technologies, such as Flask, GUnicorn, Docker and Airflow. Experience with Azure Services (Power BI) and AWS Services (S3, SNS, SQS, Lambda, API Gateway, EC2, ECR, ECS) preferred.
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machine learning jobs in Raleigh, NC
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