Top Machine Learning Jobs in Raleigh, NC

In this role, you will apply statistical and machine learning techniques to analyze unstructured data, develop and fine-tune machine learning models, utilize pretrained language models, and ensure their effectiveness in production. You will work collaboratively with interdisciplinary teams to enhance product features while staying updated with advancements in NLP.

As a Staff Machine Learning Engineer at Fakespot, you will leverage AI and machine learning techniques to analyze unstructured data, develop and optimize models for tasks like entity recognition and text generation, and collaborate with cross-functional teams. You'll also monitor and refine models for performance, ensuring the delivery of trustworthy tools to enhance eCommerce transparency.

As an AI / ML Developer at DuploCloud, you will design, develop, and optimize machine learning models while collaborating with internal teams and customers. You will be responsible for data preprocessing, deploying models in production, and ensuring their performance. Staying updated on AI advancements and conducting experiments will also be key aspects of your role, aimed at contributing to the company's growth.

The ML/AI Engineer at Yahoo Search will tackle real-world technical challenges by applying machine learning paradigms to develop scalable ML-based solutions. Responsibilities include data analysis, defining technical requirements, cross-functional communication, and staying updated on AI advancements. The role emphasizes quality, innovation, and effective solutions.

As a Senior Machine Learning Engineer at Concurrency, you'll design and engineer ML systems, collaborating with data science teams to solve diverse customer problems. You'll leverage your expertise in supervised, unsupervised, and deep learning, using tools like Python and SQL, while influencing project direction and designing production solutions in a cloud development environment.

The Lead MLOps Engineer will design and implement MLOps pipelines, manage infrastructure for model lifecycle, and collaborate with cross-functional teams to optimize model training, deployment, and monitoring for numerous hotel clients.

The Machine Learning Engineer will utilize machine learning techniques to develop scalable solutions that enhance customer experience. Responsibilities include data analysis, implementing ML algorithms, automating processes, and general performance analysis.

The role involves designing, developing, and implementing software solutions for AI/ML projects, collaborating with teams, and utilizing various programming languages and cloud services. The developer will engage in agile practices, address technical challenges, and work with databases and APIs.