Opportunity Description
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...
+ 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...