MLOps Engineer

What You'll Work On:

• Audit, secure, and optimize our existing cloud infrastructure (AWS) to ensure high availability, fault tolerance, and security for both training and production workloads.
• Design and maintain scalable architectures for serving deep learning models (PyTorch/TensorFlow), optimizing for low latency and high throughput in handling complex infrastructure data.

Required Technical Skills:

• Deep expertise in AWS (e.g., EC2, S3, EKS, SageMaker, Lambda) and cloud security best practices.
• Strong experience with Docker and Kubernetes for packaging and scaling ML applications.
• Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.

What We're Looking For:

• 4-6+ years of experience in MLOps, DevOps, or Data Engineering, with a strong emphasis on machine learning workloads.
• A security-first and stability-first mindset with strong collaborative instincts to work closely with Data Scientists.
• Clear communication skills to articulate architectural decisions and tradeoffs to the broader technical team.