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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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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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with AI, Machine learning and Image processing is a plus. Experience with docker, podman, Kubernetes is a plus. Experience with OpenCV, PCL, Cuda is a plus. Experience with simulations (MATLAB/Simulink, Gazebo, Unity3D, LabVIEW etc.
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Experience Required : Seven years of experience in machine learning engineering, data science, data engineering, and/or software engineering. or C#, complemented by experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
$245,500Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with Docker and container orchestration platforms like Kubernetes.
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This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
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Knowledge of big data, data science, generative AI, machine learning, and common Python libraries. Expertise in cloud-native development patterns, specifically Kubernetes, Helm chart deployment, Serverless (Lambda), library and package management, JWT-based security, and experience with AWS & Azure cloud platforms.
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Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
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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.) Exposure to Kubernetes and cloud technologies such as AWS, Azure or GCP.
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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 Yesterday - UpvoteDownvoteShare Job
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Experience with machine learning and DevOps is also beneficial but not required. Familiarity with Docker, Kubernetes, Jax, and PyTorch is a plus. They are dedicated to transforming the music industry with cutting-edge technology solutions, and we're looking for a Full Stack Engineer to join this dynamic team.
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kubernetes machine learning jobs in Houston, TX
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