Machine Learning Engineering and Operations
We are seeking a highly skilled Senior MLOps Engineer to join our team. As a key member of our engineering organization, you will be responsible for the full lifecycle of machine learning models, from development to deployment.
Key Responsibilities :
- Develop and implement scalable machine learning pipelines using automation tools such as GitLab CI / CD and Terraform.
- Design and deploy reliable and efficient model serving architectures on cloud platforms like EKS / ECS / Lambda and Databricks Model Serving.
- Instrument end-to-end observability and monitoring for machine learning systems to detect drift and regressions.
- Partner with cross-functional teams to design and implement secure data access patterns and IAM least-privilege access.
- Continuously improve and optimize model performance, cost, and efficiency.
Minimum Qualifications :
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, and 3+ years of relevant experience.3+ years of experience operating ML systems in production.Proficiency in Python for ML engineering and experience with GitLab CI / CD and Terraform.Experience deploying and operating compute resources for ML, including EKS / ECS / Lambda and Databricks Model Serving.Knowledge of secure data access patterns, IAM, and secrets / key management.About Us
We are a company that values innovation, collaboration, and customer satisfaction.