Top Machine Learning Jobs
The Senior AI & ML Consultant will architect and implement AI and ML solutions using OpenAI and Azure ML, lead project lifecycles, develop strategic roadmaps, and facilitate workshops to enhance AI understanding among clients. The individual will address complex business needs with innovative AI solutions while ensuring fairness in AI deployment.
The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.
As a Senior Machine Learning Engineer at Enigma, you will develop scalable ML systems, enhance entity resolution algorithms, and improve machine learning infrastructure, directly impacting business decisions for customers. You will collaborate with data scientists and engineers to innovate and maintain high-performance systems.
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In this role, you will develop, train, document, deploy, and manage machine learning models, working with both internal and external customers to enhance Wikipedia and related projects. Responsibilities include gathering training data, model deployment, and providing ongoing model monitoring and support.
The Staff Machine Learning Engineer will lead the development and deployment of algorithms for robotic manipulation, including behavioral cloning and reinforcement learning. Responsibilities include collaborating with hardware and software teams, conducting simulations and real-world testing, and staying updated on advancements in robotics.
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The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
As a Senior Machine Learning Engineer at Radiant Security, you will design and develop scalable ML solutions for SaaS applications. You will collaborate with data scientists, manage ML lifecycle, ensure efficient model serving, and maintain data integrity, while keeping up with the latest technologies to enhance outcomes.
The Machine Learning Research Scientist will develop and research state-of-the-art NLP models to enhance market research. The role involves predictive modeling, algorithm development for large-scale applications, and effective communication of technical concepts to non-technical stakeholders.
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.
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