A technology company specializing in AI is looking for an experienced engineer to oversee the production lifecycle of AI initiatives. The role requires leading operations for AI services and implementing CI/CD pipelines across AWS and Azure. Candidates should possess extensive experience in MLOps, a bachelor's degree in a relevant field, and proficiency in Python and SQL. This position offers the opportunity to work in a collaborative environment while driving innovative solutions in a rapidly evolving field.
Qualifications
6+ years of engineering experience focused on MLOps or LLMOps.
Hands-on proficiency in AWS and Azure ecosystems.
Professional experience with observability frameworks.
Responsibilities
Build and maintain CI/CD and CT pipelines across AWS and Azure.
Implement systemized frameworks for LLM evaluation.
Optimize model serving endpoints for high-throughput and low-latency.
Skills
AWS ecosystem proficiency
Azure ecosystem proficiency
Expert Python
SQL proficiency
Docker containerization
Kubernetes orchestration
Education
Bachelor’s degree in Computer Science or related field
Master’s degree in a quantitative discipline
Tools
Terraform
Azure OpenAI services
Airflow
Kubeflow
Job description
A technology company specializing in AI is looking for an experienced engineer to oversee the production lifecycle of AI initiatives. The role requires leading operations for AI services and implementing CI/CD pipelines across AWS and Azure. Candidates should possess extensive experience in MLOps, a bachelor's degree in a relevant field, and proficiency in Python and SQL. This position offers the opportunity to work in a collaborative environment while driving innovative solutions in a rapidly evolving field.