[Remote] MLOps Engineer – Azure Databricks & MLflow

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.ResponsibilitiesAt least 5 years of experience in a relevant discipline area is requiredKnowledge 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/PythonExperience in handling unstructured data processing and transformation with programming knowledgeHands on experience in building data pipelines using Scala/PythonBig data technologies such as Apache Spark, Structured Streaming, Advanced SQL, Databricks, Delta Lake, Azure/AWSStrong analytical and problem-solving skills with the ability to troubleshoot spark applications and resolve data pipeline issuesFamiliarity with version control systems like Git, CICD pipelinesExperience with Azure Databricks and MLflowGood understanding of ML workflows, model development, and evaluationKnowledge of MLOps fundamentals such as CI/CD, versioning, and monitoringAbility to build end-to-end data and ML solutionsExposure to production ML or AI systemsUnderstanding of data engineering and data modeling basicsAbility to work independently on loosely defined problemsStrong problem-solving and communication skillsMentoring experience is a plusSkillsAt least 5 years of experience in a relevant discipline area is requiredAt least 5 years of experience in data engineering with a strong background on Azure Databricks and Scala/PythonExperience in handling unstructured data processing and transformation with programming knowledgeHands on experience in building data pipelines using Scala/PythonBig data technologies such as Apache Spark, Structured Streaming, Advanced SQL, Databricks, Delta Lake, Azure/AWSStrong analytical and problem-solving skills with the ability to troubleshoot spark applications and resolve data pipeline issuesFamiliarity with version control systems like Git, CICD pipelinesExperience with Azure Databricks and MLflowGood understanding of ML workflows, model development, and evaluationKnowledge of MLOps fundamentals such as CI/CD, versioning, and monitoringAbility to build end-to-end data and ML solutionsExposure to production ML or AI systemsUnderstanding of data engineering and data modeling basicsAbility to work independently on loosely defined problemsStrong problem-solving and communication skillsMentoring experience is a plusBenefitsHealth BenefitsReferral ProgramExcellent growth and advancement opportunitiesCompany OverviewICONMA: Your Partner in Global Staffing Solutions and Digital Transformation ICONMA is a globally recognized, Woman-Owned staff augmentation and technology consulting firm. It was founded in 2000, and is headquartered in Troy, MI, US, with a workforce of 1001-5000 employees. Its website is http://www.iconma.com.