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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
$131,584 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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 6 days ago - UpvoteDownvoteShare Job
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Java, Python), infrastructure provisioning and DevOps principles, whether they are related to infrastructure as code, microservices architecture or CI/CD automation.
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
$75 an hourRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Using IaC, CaC & CI/CD tools integrated into 1 unified solution supporting standup of new env or frequent mod to existing env in areas such as IBM WebSphere, MQ & Oracle products, AWS. Experience designing and implementing solutions using AWS Well-architected framework.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. and working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA. Deliver simple solutions to complex problems as a Machine Learning Engineer at NDSI. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO. As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter.
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AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional. - One or more of the following certifications: GCFA, GCFE, GCIH, EnCE, CCE, CFCE, CISSP, AWS Practitioner, AWS Certified Developer, AWS Certified SysOps Administrator, AWS Certified Architect, Kubernetes Security Specialist.
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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
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Post-doctoral research experience is desired as well as research or training in areas such as machine learning and/or deep learning in a biomedical context, signal processing and analysis for biomedical data, bioinformatics, computer vision, or other related areas.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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machine learning aws devops engineer deep jobs Title: devops engineer
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