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AWS Management and Government services, Past experience in supporting highly available applications hosted in AWS, AWS Cloud Administration, Terraform, Ansible, Amazon Machine Images (AMI), EC2 scripting, Lambda functions.
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Position Overview: · Client is seeking a Software Engineer to design and build back-end services that support our portfolio of data-centric clinical and analytic applications. · These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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Collaborate with other AWS DevOps Engineers to keep site reliability and stability as a primary focus of DevOps initiatives. CGI Federal, Inc is seeking an results-driven AWS Site Reliability Engineer to join an existing engineering team focused on providing high availability uptime of financial systems applications and other services hosted in AWS GovCloud.
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You will leverage in-house computational tools and work to develop new machine-learning-based approaches and tools to design and optimize proteins (antibodies, immunogens, etc.) PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.
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As an experienced AWS DevOps Cloud Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. AWS Certification (AWS Solution Architect Associate, AWS Developer, AWS DevOps.
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) are a plus. Design, deploy, and manage AWS cloud environments according to best practices and client requirements.
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Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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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.
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As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. · Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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machine learning aws devops design build jobs Title: devops engineer
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