Mlops Data Engineer Jobs in Michigan (NOW HIRING)

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model evaluation and drift ...

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model evaluation and drift ...

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines

Data Engineering tools & platforms (Spark, Databricks, distributed systems) * Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) * MLOps / LLMOps tools (MLflow, Kubeflow ...

Data Engineering tools & platforms (Spark, Databricks, distributed systems) * Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) * MLOps / LLMOps tools (MLflow, Kubeflow ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical ... Exposure to MLOps or model productionization Our Benefits -- Designed with You in Mind ...

Collaborate with engineering teams to implement MLOps practices--including model deployment, monitoring, and end‑to‑end lifecycle management using tools such as MLflow. * Adhere to data ...

Production ML and MLOps * Package and deploy models as reliable production services, batch processes, or decision-support capabilities in partnership with software, data, and platform engineers.

Production ML and MLOps * Package and deploy models as reliable production services, batch processes, or decision-support capabilities in partnership with software, data, and platform engineers.

Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various ... LLMs and AI/MLOps into client solutions. * Collaborative Leadership: Proven track record of ...

Collaborate with engineering teams to implement MLOps practices including model deployment, monitoring, and end-to-end lifecycle management using tools such as MLflow * Adhere to data governance ...

Collaborate with engineering teams to implement MLOps practices including model deployment, monitoring, and end-to-end lifecycle management using tools such as MLflow * Adhere to data governance ...

This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable, production-ready AI systems that generate measurable business value. The ideal candidate will have ...

... data architectures and how storage, compute, and governance choices influence AI solution design * Understanding of modern product and engineering practices such as Agile, DevOps, CI/CD,MLOps, and ...

Machine Learning Engineer What You'll Do: Collaborate with stakeholders to understand ML ... CT and MLOps principles. Work on analytics pipelines supporting predictive modeling, data flows ...

... data architectures and how storage, compute, and governance choices influence AI solution design * Understanding of modern product and engineering practices such as Agile, DevOps, CI/CD, MLOps, and ...

... data architectures and how storage, compute, and governance choices influence AI solution design * Understanding of modern product and engineering practices such as Agile, DevOps, CI/CD, MLOps, and ...