- Capgemini (Atlanta, GA)
- …Owner Experience with executive business stakeholders + AWS Cloud Experience + ML Ops Data Analysis + JIRA Management + Must Have Experience in Big ... the product roadmap and drive continuous improvement initiatives. + Support data instrumentation and analytics strategy, including the collection and analysis of… more
- HSS (New York, NY)
- …and longer. Description: We are seeking a data engineer with experience in ML Ops processes and deploying/productizing ML models. As a member of ... implementing ML Ops processes and deploying/productizing ML models + Experience with AWS Data Analytics Service including but not limited to… more
- Nordstrom (Seattle, WA)
- Job Description About the role: We are seeking a highly motivated and skilled ML Ops Data Engineer to join our growing Data Science Engineering team. In ... of machine learning models. You will work closely with data scientists, software engineers, and other stakeholders to ensure...infrastructure. + Stay up-to-date with the latest advancements in ML Ops tools and technologies. You own… more
- Bloomberg (New York, NY)
- Senior ML Ops Engineer - Artificial Intelligence **New York, NY** Posted May 24, 2024 - Requisition No. 125590 Bloomberg's Engineering AI department has 300+ AI ... contributing to the team (or teams) of Machine Learning ( ML ) and Software Engineers that are bringing innovative solutions...is built on technology that makes news, research, financial data , and analytics on over 35 million financial instruments… more
- Colgate-Palmolive (Piscataway, NJ)
- …systems (GitHub Actions, Selenium, etc.) + Familiarity with code deployment tools + Experience with ML Ops platforms such as Google Cloud Vertex AI or AWS ... on monitoring, maintaining, and enhancing the various technology platforms that hundreds of Data Engineers and Data Scientists rely on daily. The Development… more
- HP Inc. (Spring, TX)
- …+ Strong proficiency in MLOps methodologies and industry trends. + Experience with ML frameworks (eg, TensorFlow, PyTorch) and data processing libraries (eg, ... large language models. Working closely with our team of data scientists and engineers, you will leverage the latest...in production environments on cloud platforms such as Azure, AWS , or GCP. + Implement and optimize MLOps best… more
- Penske (Tampa, FL)
- …their data science initiatives. You will play a key role in maturing the AI/ ML Ops at Penske organization. This is a great opportunity for someone who has ... ML implementations at Penske. **Major Responsibilities:** - Support data scientists with AI/ ML model development and...NoSQL databases and writing SQL queries. - Experience with AWS cloud technologies is a significant plus. - Understanding… more
- Amazon (Seattle, WA)
- …a trusted advisor for customers developing, deploying and scaling Deep Learning applications on AWS ML accelerators. You'll succeed in this position if you enjoy ... sharing best practices and insights, and help shape how AWS ML accelerator technology gets used. You...software development or Internet-related industries - Experience working with AWS technologies from a dev/ ops perspective -… more
- FuseMachines (New York, NY)
- …for a new product line. Bonus Points if you've worked on an ML Ops platform. Responsibilities: + Engineering Excellence: Oversee the development, scaling, ... lead a diverse distributed engineering team of software developers, ML engineers, and data engineers. Create an...collaboration, and continuous learning across both software engineering and ML / ML Ops domains. + Cross-functional… more
- Amazon (Arlington, VA)
- …impact the customer or business, but can be mitigated through corrective actions for the AB Ops use case - Acquire this data by accessing data sources and ... clear, compelling analyses by leveraging your knowledge across the AWS suite of products to support the broader business....Perl, or another scripting language - Experience in a ML or data scientist role with a… more
- Amazon (Bellevue, WA)
- …scale. You will own many large datasets, production pipelines, automate anomaly detection model, ML data models, implement new data pipelines that feed into ... Description The WW Ops Finance S&A (Standardization and Automation) Planning team's...a talented technical leader and craftsman who builds robust data products that scales as well as client-facing features… more
- FuseMachines (New York, NY)
- …encourages innovation, collaboration, and continuous learning across both software engineering and ML / ML Ops domains. + Cross-functional Collaboration: Serve ... lead a diverse distributed engineering team of software developers, ML engineers, and data engineers. Create an...modeling, and MLOps practices across the major cloud providers ( AWS , Azure, GCP). + Leadership and Vision: Proven ability… more
- CVS Health (Hartford, CT)
- …distributed computation frameworks like Spark or Dask + Familiarity with working in Dev/ ML Ops model and industry deployment best practices using CI/CD tools ... a trusted engineering advisor and partner working closely with data scientists to enable self-service ML capabilities...building cloud native analytical products in GCP, Azure or AWS + Hands-on experience in developing AI solutions leveraging… more
- Ford Motor Company (Columbus, OH)
- …Google Cloud Platform (GCP), Kubernetes, as well as open-source products in the dev ops and ML space. + Knowledge of infrastructure as code for deployment, ... and Machine Learning platforms, and we need a passionate AI/ ML SME Architect to support our Product Teams. This...as well as standard DevOps pipelines to assist with Data Science objectives in terms of developing a democratized… more
- Nestle (Arlington, VA)
- …and/or IT experience + 2+ years of experience in Azure Cloud technologies eg, ML / OPS , ML Flow, Azure Data Factory, Azure Function, Data Bricks, ... closely with the data scientist community and troubleshoot issues with the ML models + Perform cloud governance processes + Perform code reviews and recommend… more
- Amazon (New York, NY)
- …driven by machine learning. Amazon.com's recommendations engine is driven by machine learning ( ML ), as are the paths that optimize robotic picking routes in our ... Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech… more
- Amazon (Seattle, WA)
- …Categorization, Maturity, Coverage, and Productivity analysis leveraging business intelligence tools, ML models and external data to inform the Consulting ... Description Amazon Web Services ( AWS ) is the world's most comprehensive and broadly...cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers-including the fastest-growing startups,… more
- Banco Popular Puerto Rico (Charlotte, NC)
- …and Virgin Islands work at Popular. Come and join our community! The Opportunity As a Data Engineering & Data OPS Lead at our organization, you will play ... the seamless operation and continual enhancement of Analytical Engineering data pipelines, AI/ ML models and systems that...Apachi airflow, Step Functions and Tidal. + Experience with AWS data & analytics services such as… more
- Robert Half-Robert Half Corporate (San Ramon, CA)
- …is designed for a player coach who excels in the orchestration of DevOps, ML Ops , Infrastructure, Security and API development to support scalable machine ... models in production. + Lead a diverse team of ML engineers, Data Engineers, and DevOps specialists,...operational efficiency. + Define and implement best practices for ML Ops , including continuous integration, continuous delivery,… more
- Amazon (San Jose, CA)
- …SageMaker and related services that support GenAI use cases. - Thought Leadership - Evangelize AWS ML services and share best practices through forums such as ... passionate about helping customers build solutions leveraging the state-of-the-art AI/ ML /GenAI tools on Amazon Web Service ( AWS )?...customer solutions to the cloud - Experience working with AWS technologies from a dev/ ops perspective -… more