Chief Machine Learning Automation Specialist
2 weeks ago
As a leading professional in MLOps engineering, you will be instrumental in driving the development and implementation of cutting-edge machine learning solutions.
The successful candidate will have expertise in automating and orchestrating machine learning infrastructure and CI/CD pipelines on public cloud platforms, preferably AWS. This role is pivotal in enabling scalable, secure, and reproducible deployments of both classical AI/ML models and Generative AI solutions in production environments.
Key Responsibilities. Develop and maintain robust CI/CD pipelines for AI/GenAI models on AWS using GitHub Actions and CodePipeline.
. Automate infrastructure provisioning using Infrastructure as Code (IAC) tools like Terraform and Bicep.
. Package and deploy AI/GenAI models on SageMaker, Lambda, and API Gateway.
. Write Python scripts for automation, deployment, and monitoring of machine learning workflows.
. Collaborate with data scientists and engineers to design, develop, and maintain data pipelines for various AI use cases.
. Ensure model governance, versioning, and traceability across environments.
. Set up model monitoring, logging, and alerting mechanisms to detect drift, latency, and failures.
Requirements
- Strong experience with MLOps practices and methodologies.
- Degree or equivalent work experience in Computer Science or a related field.
- Expertise in developing, testing, and deploying data pipelines.
Additionally, the ideal candidate will possess:
Preferred Qualifications- Experience with Docker-based deployments.
- Familiarity with model monitoring tools such as Evidently and CloudWatch.
- Understanding of GitOps practices and principles.
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