(#4403)Position Overview: N-iX is looking for a Data Engineer with MLOps experience to join our team.Responsibilities: Work with data scientists to design scalable ML pipelines that integrate into existing architecture.  Under the guidance of a principal engineer, take ownership of all ML ops and data engineering deliverables for an assigned project. Support the deployment of models into production environments (batch and/or real-time), including containerization, inference orchestration, and integration with relevant tools and services. Build internal tools (e.g., Streamlit apps) to showcase ML outputs. Display continual curiosity to drive innovation. Collaborate with platform teams to adopt and extend data ingestion framework Adopt and contribute to company wide best practices around coding quality, architecture, and code reviews. RequirementsEssential: Experience designing and implementing large scale cost effective productionworkflows within AWS (lambda, kafka, kinesis, EKS, step functions) Experience working with data scientists to transition notebooks (Databricks,Sagemaker) into production code. Cost management Python DevOps (CloudWatch, CI/CD pipelines, IaC) Pipeline Orchestration, ideally Airflow. Nice to have: MLFlow DBT Frontend Experience Spark / Pyspark