Note: The job is a remote job and is open to candidates in USA. ICONMA is an IT Services and Consulting company seeking an MLOps Engineer specializing in Azure Databricks and MLflow for a remote position. The role involves building end-to-end data and ML solutions, managing data pipelines, and applying MLOps principles to enhance model development and deployment.

Responsibilities

• At least 5 years of experience in a relevant discipline area is required
• Knowledge of the latest technologies and trends in data engineering are highly preferred and includes:
• 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, and monitoring
• Ability to build end-to-end data and ML solutions
• Exposure to production ML or AI systems
• Understanding of data engineering and data modeling basics
• Ability to work independently on loosely defined problems
• Strong problem-solving and communication skills
• Mentoring experience is a plus

Skills

• At least 5 years of experience in a relevant discipline area is required
• 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, and monitoring
• Ability to build end-to-end data and ML solutions
• Exposure to production ML or AI systems
• Understanding of data engineering and data modeling basics
• Ability to work independently on loosely defined problems
• Strong problem-solving and communication skills
• Mentoring experience is a plus

Benefits

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities

Company Overview