Vacancy Description
About Position:
Databricks MLOps/LLMOps Engineer responsible for automating, deploying, and operating ML and LLM pipelines on Databricks and AWS to enable scalable, reliable AI solutions.
- Role: AWS Platform Engineer
- Location: All Persistent Locations
- Experience: 8 to 12 years
- Job Type: Full Time Employment
What You'll Do:
- Build and automate MLOps/LLMOps pipelines using Python, AWS, and Databricks.
- Manage ML lifecycle with MLflow and deploy models using Databricks Model Serving.
- Operationalize LLM and AI workloads with Mosaic AI and govern data using Unity Catalog.
- Automate jobs, clusters, and CI/CD; monitor performance and costs.
Expertise You'll Bring:
- Strong experience in Databricks, Python, AWS.
- Hands‑on expertise in MLOps/LLMOps, MLflow, and model serving.
- Knowledge of LLM/AI workflows, governance, CI/CD, and platform optimization.
Benefits:
- Competitive salary and...
Databricks MLOps/LLMOps Engineer responsible for automating, deploying, and operating ML and LLM pipelines on Databricks and AWS to enable scalable, reliable AI solutions.
- Role: AWS Platform Engineer
- Location: All Persistent Locations
- Experience: 8 to 12 years
- Job Type: Full Time Employment
What You'll Do:
- Build and automate MLOps/LLMOps pipelines using Python, AWS, and Databricks.
- Manage ML lifecycle with MLflow and deploy models using Databricks Model Serving.
- Operationalize LLM and AI workloads with Mosaic AI and govern data using Unity Catalog.
- Automate jobs, clusters, and CI/CD; monitor performance and costs.
Expertise You'll Bring:
- Strong experience in Databricks, Python, AWS.
- Hands‑on expertise in MLOps/LLMOps, MLflow, and model serving.
- Knowledge of LLM/AI workflows, governance, CI/CD, and platform optimization.
Benefits:
- Competitive salary and...
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