About the Opportunity: An exciting role for an ML Engineer to build scalable ML systems deploy models and work with cutting-edge AI technologies including LLMs and RAG architectures.
Key Responsibilities:
Build train and deploy ML models at scale
Develop reusable pipelines using Databricks and MLflow
Implement CI/CD workflows for ML deployment
Work with LLMs RAG and AI agent frameworks
Monitor model performance drift and retraining cycles
Required Skills:
5 years of ML Engineering experience
Strong Python programming and ML frameworks (PyTorch TensorFlow Scikit-learn)
Hands-on experience with Databricks MLflow PySpark
Experience with AWS (S3 SageMaker Lambda etc.)
Strong understanding of MLOps and model lifecycle
Preferred:
Experience building AI-driven applications (Streamlit Gradio)
Machine Learning Engineer LLM / MLOps Job Title: Machine Learning Engineer LLM & MLOps Location: Remote (U.S.) Employment Type: Full-Time About the Opportunity: An exciting role for an ML Engineer to build scalable ML systems deploy models and work with cutting-edge AI technologies including...
About the Opportunity: An exciting role for an ML Engineer to build scalable ML systems deploy models and work with cutting-edge AI technologies including LLMs and RAG architectures.
Key Responsibilities:
Build train and deploy ML models at scale
Develop reusable pipelines using Databricks and MLflow
Implement CI/CD workflows for ML deployment
Work with LLMs RAG and AI agent frameworks
Monitor model performance drift and retraining cycles
Required Skills:
5 years of ML Engineering experience
Strong Python programming and ML frameworks (PyTorch TensorFlow Scikit-learn)
Hands-on experience with Databricks MLflow PySpark
Experience with AWS (S3 SageMaker Lambda etc.)
Strong understanding of MLOps and model lifecycle
Preferred:
Experience building AI-driven applications (Streamlit Gradio)