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Harnessing data, machine learning, and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process, and production efficiency, as well as reduce risk, operational cost, and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle.
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Cloud, artificial intelligence, machine learning, mobile, In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies: Angular, TypeScript, CSS, HTML Exposure to cloud technologies: AWS.
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ML | AI | Machine Learning | DevOps | Data & Analytics | Infrastructure | CI/CD | Terraform | Gitlab | Azure Devops | AWS | Azure | DataBricks | Ansible | Apache Spark | Kafka | Kubernetes | Docker | Linux.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design complex systems of systems for training and running machine learning models with industry best practice. Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering.
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Strong understanding of machine learning and deep learning concepts including transformer based GPT models. This role will leverage expertise in AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data.
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Preferred Experience: Experience developing MLOps pipelines for computer vision AI models, experience leading leading the deployment and maintenance of multiple machine learning models into production environments, 5 years of industry experience in data science, with at least 3 of those years as a Senior Machine Learning Engineer.
$218,500Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Machine Learning / Deep Learning Skills: Lead the development and implementation of advanced machine learning models, ensuring a high standard of technical excellence.
$161,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are looking for a Lead Software Machine Learning Engineer to join the Applied Intelligence Anomaly Detection Team. We are seeking an experienced and skilled Lead Software Machine Learning Engineer to join our team of innovators.
$225,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You're proficient in machine learning packages, such as Tensorflow and Pytorch, and have proven expertise in designing/developing AI/ML models. We do this by leveraging state-of-the-art machine learning, modern architectures, and industry experts, to create AI-powered solutions that transform the way we do business.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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To give you a better idea, they recently completed a project that tracked cargo vessel's raw data shipping locations (330 million records) in a specific regions to help Data Science build a Supply & Demand Machine Learning model.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) As a Software Engineer III at JPMorgan Chase within the Corporate Investment Banking, Commodities team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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As a Principal Engineer in MLOps, you will lead the design, development, and implementation of machine learning operations across our platforms. Strong programming skills in languages such as Kotlin, Scala, Java and familiarity with Python & machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
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Baker Hughes Cordant Process Optimization solution is based on a novel approach that combines process domain knowledge along with advanced machine learning techniques. Baker Hughes is currently hiring a Principal Engineer - Process Control and Optimization to join the team.
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machine learning jobs Title: engineer in Houston, TX
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