Senior Machine Learning Engineer

Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent professional experience. 3+ years of experience in docker, kubernetes and helm. Strong proficiency in python and machine learning libraries like PyTorch, Transformers, and Timm. Proficiency in MLOps tooling like Metaflow, MLflow, Argo Workflows, torchrun and Ray. Experience working with cloud platforms like AWS, GCP, and Azure.

Deploy and maintain containerized workloads for ML development and monitoring. Utilize tools like helm and kustomize for ML model and data pipeline deployment. Apply optimization techniques to improve model latency and throughput. Use open-source tools like Metaflow, Prefect, Temporal, and Argo Workflows for data science development. Build and optimize ML models for security data analysis. Develop and maintain systems for drift detection and model monitoring. Collaborate with cross-functional teams to design data pipelines for petabyte-scale data processing.