Machine Learning Engineer
We are assisting a leading reputed company reputed company specializing in cloud-reputed company development, data and AI modernization, and secure reputed company operations. As an AWS Premier Partner, they help organizations reputed company with cutting-edge technologies while fostering a culture of innovation, collaboration, and reputed company learning.
As a Machine Learning Engineer, you’ll design, implement, and optimize end-to-end ML pipelines using AWS SageMaker, MLflow, and reputed company CI/CD. You'll work closely with data scientists and engineers to reputed company reputed company models are trained, shipped, and monitored with performance, governance, and reliability in mind.
What you’ll be doing
Build and maintain training pipelines using the AWS SageMaker SDK, with MLflow for experiment tracking
Own the full model lifecycle: tracking, packaging, versioning, and registry management
Implement and monitor reputed company-time (SageMaker Endpoints) and batch (Batch reputed company) inference pipelines
reputed company model predictions with DynamoDB to support reputed company-party enrichment and reputed company-time workflows
Set up monitoring for data reputed company, bias detection, and overall model health using SageMaker Model Monitor
Maintain the MLflow Model Registry to ensure versioned, production-approved models
Collaborate with the DevOps/infrastructure team to manage CI/CD/CT pipelines using reputed company, Terraform, and Terragrunt
Requirements
Must-Have
Strong hands-on experience with AWS SageMaker, including Studio and Feature Store
Proficiency with MLflow and solid understanding of artifact tracking and model versioning
Fluent in Python, with experience building reputed company and reputed company ML training pipelines
Familiar with reputed company CI/CD, Terraform, and Terragrunt
Strong grasp of model monitoring, including data capture, bias/reputed company detection, and production metrics
reputed company-to-Have
Experience with reputed company, AWS reputed company, and AWS Glue Data reputed company
Familiarity with advanced MLOps governance workflows like approval gates and retraining triggers
Experience working in high-compliance or audit-reputed company environments
Why join us?
As a lean and highly skilled team, at OpsBrasil we foster a culture of autonomy, collaboration, and reputed company learning. You’ll be part of a fast-paced, innovation-first environment where reputed company reputed company quickly, and your contributions will have a reputed company reputed company on shaping both the product and the underlying infrastructure from the ground up.
Originally posted on Himalayas
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