A technology services company in Dallas, Texas is seeking a skilled MLOps Engineer with over 10 years of experience. The role involves building and automating ML pipelines, operationalizing models, and managing AWS-based cloud infrastructure. Candidates should have strong coding skills in Python, proficiency in MLOps frameworks, and excellent communication abilities. This position offers an opportunity to work with cutting-edge technologies in a collaborative environment.
Qualifications
10+ years of overall experience with 4+ years in MLOps or Machine Learning Engineering.
Hands-on experience with AWS services like SageMaker, S3, and Lambda.
Strong coding proficiency in Python and automation tools like Terraform.
Responsibilities
Design, implement, and maintain CI/CD pipelines for ML models.
Collaborate with data scientists to operationalize ML models.
Manage cloud infrastructure using IaC tools for optimization.
Skills
MLOps experience
AWS expertise
Python programming
Terraform
Docker
Communication skills
Tools
SageMaker
GitHub Actions
Airflow
Kubeflow
Job description
A technology services company in Dallas, Texas is seeking a skilled MLOps Engineer with over 10 years of experience. The role involves building and automating ML pipelines, operationalizing models, and managing AWS-based cloud infrastructure. Candidates should have strong coding skills in Python, proficiency in MLOps frameworks, and excellent communication abilities. This position offers an opportunity to work with cutting-edge technologies in a collaborative environment.