Machine Learning Infrastructure Specialist
5 days ago
We are seeking an experienced Cloud Engineer to lead our AI Systems team in designing, building, and scaling the infrastructure for our machine learning models. This role involves working closely with data scientists and engineers to deploy and integrate our models into business applications, APIs, and microservices.
The ideal candidate will have a strong background in cloud computing, particularly on AWS, and experience with DevOps practices such as CI/CD pipelines, containerization, and infrastructure as code. Strong programming skills in Python and Bash are essential, along with knowledge of ML frameworks like TensorFlow and PyTorch.
Key Responsibilities:
- Design and build scalable infrastructure for deploying machine learning models
- Provision and manage cloud resources using Terraform and IaC best practices
- Implement CI/CD pipelines for automating model deployment
- Work with engineering teams to integrate ML models into business applications and APIs
- Set up robust monitoring, logging, and alerting for system reliability
- Collaborate with data engineers on data pipelines and ETL processes
Requirements:
- 3+ years of experience in MLOps, DevOps, or Cloud Engineering with a focus on ML model deployment
- Strong knowledge of AWS services including Sagemaker, Lambdas, S3, EC2, ECS, Fargate, RDS, MongoDB, and Cloudwatch
- Proficiency in Python and Bash programming languages
- Experience with CI/CD tools like Github Actions and Github CI/CD
- Familiarity with observability tools and ML frameworks like TensorFlow and PyTorch
- Excellent collaboration and communication skills
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