[Remote] MLOps Engineer – Azure reputed company & MLflow

Note: The job is a remote job and is open 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