- CVS Health (Harrisburg, PA)
- …and monitoring. + Collaborate with data scientists and engineers to build robust data pipelines for AI model training and inference. + Ensure the seamless ... (eg, GDPR), and security best practices. + Establish and enforce data governance policies for AI model development and data usage. + Mitigate risks such… more
- CVS Health (Monroeville, PA)
- …and monitoring. + Collaborate with data scientists and engineers to build robust data pipelines for AI model training and inference. + Ensure the seamless ... (eg, GDPR), and security best practices. + Establish and enforce data governance policies for AI model development and data usage. + Mitigate risks such… more
- Humana (Washington, DC)
- …development and deployment of traditional machine learning models. + Collaborate with data scientists to understand model requirements and translate them into ... use by others, beyond just building models or conducting data analysis. The traditional candidate will have a strong...CI/CD tools, pipelines + Experience working with Large Language Model (LLM) in application development + Experience with version… more
- Google (Kirkland, WA)
- …the entire data life-cycle, from ingestion and feature extraction to model training and advanced analytics. You will work at the intersection of large-scale ... experiences such as data ingestion, data pipelines, data science, feature extraction, model training and more. + Redefine the customer experience for … more
- NBC Universal (Orlando, FL)
- …solve complex business challenges. Provides hands-on guidance to cross-functional engineering and data science teams, overseeing robust model design, data ... as a subject-matter expert in AI, Machine Learning, and Data Science best practices. + Guide the exploration and...scope, and timeline requirements. + Oversee best practices in model development, training, and optimization, including the use of… more
- Oracle (Annapolis, MD)
- …+ **AI/ML Frameworks** : TensorFlow, PyTorch, and GenAI Frameworks like Autogen + ** Data Science** : MLOps practices requiring projects, model deployments, ... a deep understanding of AI services, industry hyperscalers including infrastructure, data management, and distributed applications, as well as a proficiency in… more
- Pacific Northwest National Laboratory (Richland, WA)
- …(logging, metrics, tracing). + Mature MLOps capabilities: experiment tracking, model and data versioning, automated deployment/rollback, monitoring, and ... to our nation and the world. The AI and Data Analytics Division, part of NSD, consists of over...decisions + Ensure resilience and security in agent-to-agent and model -to-service communications + Mentor and guide junior scientists and… more
- Publicis Groupe (New York, NY)
- …services using cloud-native and distributed systems + Troubleshoot complex issues across data quality, retrieval accuracy, model behavior, and system performance ... forces, our professionals come from myriad disciplines and backgrounds: data , analytics, and insights, content and creative production, communications and… more
- Bank of America (Chicago, IL)
- …ability to work across the entire spectrum of a big data stack - from data to logic to model to UI to UX. **Responsibilities:** + Seek opportunities for ... common, reusable, and scalable software components. These components enable GRM's data and analytical capabilities. These components can be domain independent (eg,… more
- Bank of America (Phoenix, AZ)
- …to work across the entire spectrum of a big data stack - from data to logic to model to UI to UX. **Responsibilities:** + Applying quantitative methods ... common, reusable, and scalable software components. These components enable GRM's data and analytical capabilities. These components can be domain independent (eg,… more
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