MLOps Engineer

Veriipro; Hartford (CT); On-site; USD 90,000 - 130,000; Full time

Job summary

Veriipro in Hartford, Connecticut, is seeking an experienced professional to build and automate end-to-end machine learning (ML) pipelines. The role focuses on deploying and managing ML models in production while ensuring model performance and data quality.

Key skills include hands-on experience with Amazon SageMaker, knowledge of CI/CD for ML models, proficiency in Docker, and expertise in programming languages such as Python and SQL. Ideal candidates will possess a strong understanding of AWS services and data quality monitoring.

Responsibilities

• Build and automate end-to-end ML pipelines
• Deploy and manage ML models in production
• Monitor model performance and data quality
• Maintain CI/CD workflows and infrastructure
• Ensure security, compliance, and system reliability
• Continuously optimize performance and cost

Skills

Amazon SageMaker

CI/CD setup for ML models

Docker

Python

PySpark

Snowflake

SQL

Bash/Shell scripting

Pandas

NumPy

PyTorch

Scikit-learn

AWS services (S3, IAM, Lambda, Step Functions, ECR)

Job description

Key Skills

• Hands-on experience with Amazon SageMaker
• CI/CD setup for ML models using AWS CodePipeline & CodeBuild
• Strong experience with Docker and container orchestration (ECS/Fargate)
• ML model deployment, monitoring, and lifecycle management
• Data pipeline development using Python, PySpark, and Snowflake
• Proficiency in SQL and Bash/Shell scripting
• Experience with ML libraries: Pandas, NumPy, PyTorch, Scikit-learn
• Strong knowledge of AWS services: S3, IAM, Lambda, Step Functions, ECR
• Data and model quality monitoring experience

Key Responsibilities

• Build and automate end-to-end ML pipelines
• Deploy and manage ML models in production
• Monitor model performance and data quality
• Maintain CI/CD workflows and infrastructure
• Ensure security, compliance, and system reliability
• Continuously optimize performance and cost