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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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As the lead in the design, development, implementation, and use of machine learning algorithms and models, you will address challenges and opportunities such as predictive analytics, natural language processing, computer vision, and recommendation systems architecture and enhancements.
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HQ-ed in McLean, VA and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring a Machine Learning Engineer onboard. As a Machine Learning Engineer, you will be responsible for designing and implementing Generative AI systems (LLMs/NLPs.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you.
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Senior Lead Machine Learning Engineer. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Duties:Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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5+ years experience developing and deploying large-scale machine learning models and/or applications in production, including batch and real-time data processing, model containerization, CI/CD, REST or GraphQL APIs.
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The Principal Machine Learning Engineer (PMLE) will serve as a key technical leader within US Foods’ Machine Learning Operations team and will help drive our advancements in AI and Generative AI. They will provide thought leadership across our Analytics & Data Science organization and work closely with ML Engineers, Data Scientists, and business leaders to design, develop, and deploy industry-leading AI solutions.
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Are you a System Administrator who is interested in developing your skills and deepening your experience related to Artificial Intelligence (AI)/ Machine Learning (ML) and Data Science (DS.
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Title: Machine Learning Engineer (Security) Machine Learning Engineer (Security) Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
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Job Title: Machine Learning Engineer. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Build and enhance machine learning models through all phases of development including design, training, validation, and implementation.
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In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems. The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
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Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch.
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We are looking for a Senior Machine Learning Scientist with a strong technical background in recommender systems, ranking systems, natural language processing, computer vision, and embedding-based approaches to join our dynamic Machine Learning team.
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machine learning jobs Title: machine in Falls Church, VA
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