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- ...container orchestration ( Jenkins/GitLab CI , Docker , Kubernetes ). Exposure to MLOps/LLMOps tools ( MLflow , Kubeflow , TFX ). Experience with Large Language Models , Generative AI , prompt engineering , and RAG pipelines . Hands‑on experience...SuggestedRemote job
- ...QA Tools: Azure DevOps, TFS, MTM, HPQC or similar Automation: Selenium, UiPath, comparable frameworks ML/AI Testing: MLflow, TFX, PyCaret, pytest Cloud/Automation: Azure AI services, Power Automate Collaboration: SharePoint General: MS Office Suite...SuggestedLocal area
- ...latest language models Utilizes Google Cloud Vertex AI for unified ML operations Implements ML pipelines using TensorFlow Extended (TFX) Applies Google's responsible AI practices in model development Level 4 (10-14 Years Of Experience) Designs scalable,...Suggested
Intellibee Inc
Detroit, MI24 days ago $135k - $300k
...retrieval-augmented generation (RAG) and MCP. Experience with MLOps tools and workflows (MLflow, Kubeflow, TFX or similar). Experience deploying models with cloud platforms (AWS/GCP/Azure) and container...Suggested- ...Actions for automating testing and deployment of ML code and models. Experience with specialized ML CI/CD (e.g., TensorFlow Extended TFX, MLflow for model deployment) and GitOps workflows (Argo CD) is a plus • Programming & Scripting: Strong coding skills in Python,...SuggestedRemote jobWork at office
$170k - $270k
...and distributed training systems ~ Familiarity with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms (MLflow, TFX, SageMaker) ~ Deep understanding of LLMs, transformer architectures, and retrieval-augmented generation (RAG) pipelines ~ Experience...Suggested$147.5k - $211k
...workloads using Harness CI/CD Support MLOps foundations such as: Model deployment automation via Kubeflow, TensorFlow Extended (TFX), Vertex AI Pipelines, and Vertex AI Model Registry. Environment promotion and rollback using Terraform Monitoring and logging...SuggestedLocal area$170k - $250k
...plus &##128161; Technologies You Might Work With: Python, TensorFlow, PyTorch, JAX, scikit-learn, Kubernetes, Docker, MLflow, TFX, Kubeflow, FastAPI, Flask, SQL, NoSQL, Apache Spark, Kafka, Hadoop, Flink, Airflow, AWS (SageMaker, Lambda, S3), GCP (Vertex AI, BigQuery...Suggested
