A leading enterprise solutions firm is seeking an experienced engineer to oversee the production lifecycle of AI initiatives. The role requires expertise in building automated CI/CD pipelines across AWS and Azure, ensuring LLM applications are operational and scalable. With over 6 years of engineering experience, the ideal candidate will possess deep skills in both cloud ecosystems and be capable of collaborating within a large enterprise IT landscape. The company encourages diverse applicants to apply.
Qualifications
6+ years of engineering experience focused on MLOps or LLMOps.
Hands-on proficiency in AWS and Azure ecosystems.
Expertise in Python, SQL, and PySpark required.
Responsibilities
Build and maintain automated CI/CD and CT pipelines across AWS and Azure.
Design infrastructure for Retrieval-Augmented Generation (RAG).
Deploy real-time monitoring for model performance and cost.
Skills
AWS
Azure
Python
SQL
PySpark
Docker
Kubernetes
MLOps
LLMOps
CI/CD
Education
Bachelor’s degree in Computer Science or a related field
Master’s degree
Tools
Terraform
CloudFormation
Palantir
Databricks
Snowflake
Airflow
Kubeflow
Step Functions
Job description
A leading enterprise solutions firm is seeking an experienced engineer to oversee the production lifecycle of AI initiatives. The role requires expertise in building automated CI/CD pipelines across AWS and Azure, ensuring LLM applications are operational and scalable. With over 6 years of engineering experience, the ideal candidate will possess deep skills in both cloud ecosystems and be capable of collaborating within a large enterprise IT landscape. The company encourages diverse applicants to apply.