Ml Inference Jobs in Tennessee (NOW HIRING)

... training, inference, evaluation, monitoring, retraining, and governance, including generative AI ... ML platform engineering, spanning MLOps, LLMOps, and AIOps. • Ability to define and enforce ...

Implement data pipelines and workflows for AI model training and inference * Ensure scalability ... Knowledge of AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, or ML.NET)

Implement data pipelines and workflows for AI model training and inference * Ensure scalability ... Knowledge of AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, or ML.NET)

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

Senior AI/ML Engineer Anywhere Type: Contract-to-Hire Category: Development Industry: Government ... Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document ...

Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). * Implement safety, privacy, and ...

Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). * Implement safety, privacy, and ...

Deliver governed data and features for ML/GenAI (curated datasets, feature pipelines/serving) supporting training and real-time inference, including consistency, caching, backfills, and latency SLOs.

Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). * Implement safety, privacy, and ...

Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). * Implement safety, privacy, and ...

Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). A successful candidate would possess ...

Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). A successful candidate would possess ...

... model inference services. You will learn and apply new techniques from open source packages and ... Work spans classical ML through LLM systems. You improve search and retrieval quality using real ...

Experience deploying ML models into production (batch or real-time inference) Background in research-driven or R&D-focused engineering environments Clearance Requirements Applicants must be a U.S.

Experience deploying ML models into production (batch or real-time inference) Background in research-driven or R&D-focused engineering environments Clearance Requirements Applicants must be a U.S.

Experience deploying ML models into production (batch or real-time inference) Background in research-driven or R&D-focused engineering environments Clearance Requirements Applicants must be a U.S.

... ML models are deployable, observable, and scalable in a multi-cloud environment. Key ... Scalable Inference Engineering: Optimize model serving endpoints for high-throughput and low ...

Develops and applies advanced ML algorithms, NLP models, and LLMs to analyze complex data. * Designs and implements novel data science methodologies for predictive modeling, causal inference, and ...

Develops and applies advanced ML algorithms, NLP models, and LLMs to analyze complex data. * Designs and implements novel data science methodologies for predictive modeling, causal inference, and ...

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more ...