- Stratus Solutions (Hanover, MD)
- … learning models and data. * Documentation: Maintain detailed documentation of machine learning operations processes and best practices. * Collaboration: ... hurdles to innovation, empowering them with the latest end-to-end cloud infrastructure, big data and cyber capabilities. Our expertise...related field. * Proven experience (3+ years) as a Machine Learning Operations Engineer with… more
- BlueCross BlueShield of North Carolina (NC)
- …prepared by Data Scientists into production-grade cloud systems using scalable, efficient machine learning operations pipelines. + Write and refine code ... North Carolina has an immediate need for a Senior Machine Learning Engineer. The ML engineering team...the enterprise. AI/ML COE maintains and matures our AI/ML operations environment, and AI/ML standards & best practices to… more
- Google (Sunnyvale, CA)
- …in either an academic or industry setting. + 2 years of experience with machine learning algorithms and tools (eg, TensorFlow), artificial intelligence, deep ... responsible for creating a cohesive, well lit path for machine learning at Google. The organization is...and execution around key ML efforts within Google. Google Cloud accelerates every organization's ability to digitally transform its… more
- Google (Mountain View, CA)
- …with software design and architecture. + 5 years of experience with machine learning algorithms and tools (eg, TensorFlow), artificial intelligence, deep ... responsible for creating a cohesive, well lit path for machine learning at Google. The organization is...and execution around key ML efforts within Google. Google Cloud accelerates every organization's ability to digitally transform its… more
- Google (Mountain View, CA)
- …Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google. The organization is also responsible for developing ML ... + 3 years of experience with ML/AI algorithms and tools, deep learning , or natural language processing. Preferred qualifications: + Master's degree or PhD… more
- Google (Kirkland, WA)
- …in either an academic or industry setting. + 2 years of experience with machine learning algorithms and tools (eg, TensorFlow), artificial intelligence, deep ... learning or natural language processing. Preferred qualifications: + Master's...develop, test, deploy, maintain, and enhance software solutions. Google Cloud accelerates every organization's ability to digitally transform its… more
- Amazon (Austin, TX)
- Description At Annapurna Labs, we are building the next generation of Machine Learning acceleration systems at scale for Amazon Web Services (AWS). The ... Machine Learning Platform Software Team is looking...code reviews, source control management, build processes, testing, and operations experience - 5+ years of leading design or… more
- Google (Kirkland, WA)
- …+ 3 years of experience with ML/AI algorithms and tools, deep learning or natural language processing. Preferred qualifications: + Master's degree or PhD ... users have the best and fastest experience possible. Google Cloud accelerates every organization's ability to digitally transform its...issues and the impact on hardware, network, or service operations and quality. Google is proud to be an… more
- Xcelerate Solutions (Bethesda, MD)
- System Administrator/ Machine Learning Operations ( MLOps ) - TS/SCI Xcelerate Solutions is currently seeking a System Administrator who is interested in ... major program advancing the state of the art in Machine Learning Operations (MLOps) supporting...years of experience in system administration preferably in a cloud native environment + Must have an active TS/SCI… more
- The University Of Texas At Dallas (Dallas, TX)
- …patching of Information Technology resources and services, with a specialized focus on Machine Learning Operations (MLOps) for the Precision BrainHealth ... Application. The Systems Engineer III - Machine Learning Operations & Automation...models in production, ensuring their scalability and reliability across cloud computing platforms, especially AWS . The position requires… more
- Robert Half-Robert Half Corporate (San Ramon, CA)
- …Key Responsibilities: + Architect and oversee the implementation of end-to-end machine learning operational strategies, including cloud infrastructure, ... of DevOps, ML Ops, Infrastructure, Security and API development to support scalable machine learning solutions. The ideal candidate will not only lead our… more
- Leidos (Bethesda, MD)
- …Come support a major program advancing the state of the art in Machine Learning Operations (MLOps) supporting mission-focused big data analytics ... of a machine translation triage application leveraging cutting-edge Artificial Intelligence (AI) / Machine Learning (ML), and Data Science (DS) capabilities?… more
- Procter & Gamble (Cincinnati, OH)
- …looking for an experienced Data Scientist to join our dynamic and diverse team to lead Machine Learning or Operations Research. Ask yourself + W ould you ... + Record of accomplishment of building scalable customer facing machine learning products. + Knowledge and application...Simulation . + Experience with large data sets and cloud computin g. Compensation for roles at P&G varies… more
- Chewy (Bellevue, WA)
- …will operate as a full stack data scientist who should have expertise in both machine learning and cloud technologies, with a focus on deploying and ... scaling machine learning models in cloud environments. In this role, they will have the opportunity to design and develop backend ML frameworks best suited… more
- Walmart (Sunnyvale, CA)
- …Building and maintaining a robust, scalable machine learning platform for machine learning operations end to end from developing, versioning and ... visualization. + Building and deploying scalable machine learning API services. + Managing public cloud ...Experience in REST API service development + Experience in machine learning operations and model… more
- Procter & Gamble (Cincinnati, OH)
- …for an experienced Data Scientist to join our dynamic and diverse team to lead Machine Learning or Operations Research. Ask yourself + Would you enjoy ... Qualifications + Experience in applying analytic mythologies such as Machine Learning , Optimization, and Simulation to a...problem . + Experience with large data sets and cloud computing. + Experience with Dev Ops environment: Git,… more
- General Dynamics Information Technology (Falls Church, VA)
- …**Job Family:** Artificial Intelligence **Skills:** Artificial Intelligence (AI),Big Data,Data Analytics, Machine Learning ,Strategic **Experience:** 10 + years of ... Citizenship Required:** Yes **Job Description:** **Senior Director, Artificial Intelligence & Machine Learning and Data Management** Seize your opportunity to… more
- Wayfair (Boston, MA)
- …computing platforms, preferably Google Cloud , with experience deploying and managing machine learning models in cloud environments. Strong analytical and ... Job Description Machine Learning Software Engineer, Customer Service...NLP models, and LLM technology through a set of cloud -hosted infrastructure to serve billions of requests in a… more
- FM Global (Johnston, RI)
- …platform tooling for the Data Science team. You will be responsible for Machine Learning Operations outcomes: Velocity of Model Deployments, Validation ... documentation. + **Technical Competency:** Design, provision and maintain the cloud infrastructure needed to support Data Engineering, Data Science,...Science, Machine Learning Engineers, and Machine Learning Operations . Write high… more
- Red Hat (Boston, MA)
- Design and implement scalable solutions for Data Scientists to deploy their Machine Learning models and monitor their health on a shared multi-tenant platform ... managers to devise a plan for developing the Red Hat AI product. + Develop Machine Learning pipelines and workflows as part of developing, testing, and releasing… more