Our Client, an IT Services and Consultant company, is looking for a ML Ops Engineer for their Remote location. Requirements:

+ At least 5 years of experience in data engineering with a strong background on Azure Databricks and Scala/Python.

+ Experience in handling unstructured data processing and transformation with programming knowledge.

+ Hands on experience in building data pipelines using Scala/Python

+ Big data technologies such as Apache Spark, Structured Streaming, Advanced SQL, Databricks, Delta Lake, Azure/AWS

+ Strong analytical and problem-solving skills with the ability to troubleshoot spark applications and resolve data pipeline issues.

+ Familiarity with version control systems like Git, CICD pipelines.

+ Experience with Azure Databricks and MLflow

+ Good understanding of ML workflows, model development, and evaluation

+ Knowledge of MLOps fundamentals such as CI/CD, versioning...