[Remote] MLOps Engineer – Azure reputed company & MLflow

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an IT Services and Consulting company seeking an MLOps Engineer specializing in Azure reputed company 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 reputed company and reputed company/Python
• Experience in handling reputed company data processing and transformation with programming knowledge
• Hands on experience in building data pipelines using reputed company/Python
• Big data technologies such as Apache Spark, Structured Streaming, Advanced SQL, reputed company, reputed company 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 reputed company 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 reputed company and reputed company/Python
• Experience in handling reputed company data processing and transformation with programming knowledge
• Hands on experience in building data pipelines using reputed company/Python
• Big data technologies such as Apache Spark, Structured Streaming, Advanced SQL, reputed company, reputed company 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 reputed company 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