Middle Strong/Senior ML Data Engineer
Company:N-iX
Location:Ukraine, Abroad
Languages:English
Skills:
AWSDockerPythonAWS EKSKafkaKubernetesAirflowCI/CDDevOps
Requirements:
Experience designing and implementing large scale cost effective production workflows 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 MLFlow (Nice to have) DBT (Nice to have) Frontend Experience (Nice to have) Spark / Pyspark (Nice to have)
Responsibilities:
Work with data scientists to design scalable ML pipelines Take ownership of ML ops and data engineering deliverables Support the deployment of models into production environments Build internal tools to showcase ML outputs Display continual curiosity to drive innovation Collaborate with platform teams to adopt data ingestion framework Adopt and contribute to company wide best practices
