MLOps Engineer

Overview

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

We are seeking a MLOps Engineer to contribute to our next level of growth and expansion.

Responsibilities

• Develop, train, and tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Deploy, monitor, and maintain ML models in production using AWS SageMaker, Lambda, ECS, and related services.
• Build and maintain automated ML pipelines for data processing, model training, evaluation, and deployment.
• Implement CI / CD and Infrastructure as Code (IaC) practices for ML workflows using tools like Jenkins, GitLab CI, and Terraform.
• Containerize ML workloads using Docker and orchestrate them on AWS ECS.
• Optimize ML models and infrastructure for performance, scalability, and cost-efficiency.
• Collaborate across teams to ensure reproducibility, observability, and best practices in MLOps.

Qualifications

Languages

You will need excellent written and verbal English for clear and effective communication with the team.

Experience

In order to thrive in this role, you must have at least 4+ years of experience in similar roles.

Perks and Benefits

Our Perks and Benefits :

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

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