Llmops Jobs in Georgia (NOW HIRING)

LLMOps & Testing: * Apply LLMOps best practices for lifecycle management of large language models, including CI/CD pipelines, monitoring, and governance. * Develop and execute testing strategies for ...

Implement secure SDLC, CI/CD, LLMOps/MLOps, and DevSecOps practices; ensure adherence to SOC 2, ISO 27001, HIPAA, and GDPR standards. * Own end-to-end ML lifecycle including data ingestion ...

You will transition beyond basic CI/CD to implement full-lifecycle LLMOps-managing foundation models, fine-tuned adapters, routing logic, and guardrails. Your work will ensure that our AI solutions ...

Partner with ML/DevOps teams to architect and maintain MLOps and LLMOps processes that ensure context data, feature stores, and vector embeddings are continuously updated and monitored in production ...

Preferred Skills and Qualifications: * 2+ years of experience implementing MLOps, LLMOps, agentic AI, and DevSecOps frameworks to enable secure, automated, governed, and reproducible AI workflows ...

Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...

Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines. * Strong hands-on proficiency in Python and ML/AI frameworks such as ...

Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...

Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...

... LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle. * AIOps & Deployment Reliability:

Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...

Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines. * Strong hands-on proficiency in Python and ML/AI frameworks such as ...

Experience with MLOps, LLMOps, or production deployment pipelines * Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design

Experience with MLOps, LLMOps, or production deployment pipelines * Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design

Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...

... LLMOps practices. * Establish monitoring and observability for model performance, drift, bias, fairness, hallucination, toxicity, safety, latency, cost, resilience, and overall system reliability.

Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines * Strong hands-on proficiency in Python and ML/AI frameworks such as ...

Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...

Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...

Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...