operations. Serve as a technical lead for platforms supporting AI/MLmodel training, inference, and batch workloads. Design... in MLOps, CI/CD pipelines, cloud platforms, model deployment, monitoring, and automation are preferred. In This Role...
####: ####/hr Overview Seeking an experienced GenAI Architect to lead the design, governance, and delivery of enterprise AI/ML.... Lead RAG architectures, model evaluation, prompt engineering standards, and cost optimization strategies. Establish...
processes. Implement and adapt reusable AI capabilities using established DDSAI AI/ML architectures and platform standards... to clarify use-case requirements, validate outputs, and support adoption. Collaborate with DDSAI AI/ML to use shared...
-on experience with automation and CI/CD pipelines Strong understanding of AI/ML concepts and AIOps practices (model lifecycle... Administrator (CKA) Experience in Java/J2EE, Spring Boot Experience supporting or operating ML/AI platforms or pipelines (MLOps...
, with consistent titles, project durations, and work model (onsite, hybrid, or remote)mentioned for each role About the.../Node.js, Java, or a similar language Experience building or integrating LLM powered systems, conversational AI, or AI/ML...
Lugar:
USA | 30/10/2026 18:10:11 PM | Salario: S/. No Especificado | Empresa:
Talent PortusDescription We are looking for an ML OPS AI Engineer II to support the delivery of machine learning solutions... can strengthen ML infrastructure, improve deployment reliability, and partner closely with AI teams to operationalize...
Engineer will architect, implement, and improve production-ready generative AI systems, working closely with AI leads, ML... and retrieval systems Integrate graph databases into AI applications to model relationships and support graph-enhanced RAG...
are performant, scalable, and aligned with enterprise standards Evaluate and apply trade-offs in model development and deployment... Preferred Qualifications Experience with Snowpark (Python or ML) Exposure to or experience with Streamlit, Dash, or similar...
-functional teams to communicate insights, present model results, and drive adoption of ML solutions. Maintain awareness... recommendation, clinical appeal summarization, and workflow optimization. Build end to end ML pipelines including feature engineering...
The Role A model predicts a material will work. We run the experiment. It doesn’t. Was the model wrong... physical experiments. ML engineers build the agent and infrastructure. You own the scientific modeling and experiment-selection...