Cloud-Scale AI Engineer Leader
6 days ago
We are seeking an experienced Lead ML+DevOps Engineer to join our team at Code and Theory, a digital-first creative agency.
**Job Overview:**
The ideal candidate will have strong expertise in cloud deployment, containerization, and related technologies, playing a crucial role in the scalability and reliability of our AI/ML infrastructure.
**Key Responsibilities:**
- MLOps Pipeline Development: Design and implement scalable MLOps pipelines to ensure consistency across the organization.
- Cloud Resource Management: Configure and manage cloud-based resources (e.g., AWS, GCP, Azure) to support AI/ML workloads, leveraging containerization as needed.
- Model Deployment and Management: Automate model deployment and management through scripts and tools to streamline the process.
- Collaboration and Communication: Collaborate with data scientists and engineers to understand their requirements and develop tailored MLOps solutions. Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.
- Performance Optimization: Monitor and optimize AI/ML infrastructure performance by analyzing system performance and identifying bottlenecks.
**Requirements:**
- Extensive Experience: Extensive experience in deploying machine learning models to cloud environments.
- Docker Container Orchestration: Strong expertise in Docker container orchestration.
- Terraform and IaC: Proficiency in Terraform for infrastructure as code (IaC) and cloud resource management.
- Data Streaming Platforms: Hands-on experience with streaming data platforms (e.g., Kafka, Kinesis).
- Programming Skills: Solid understanding of data cleaning, transformation, and ETL processes. Strong programming skills in Python. Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
**About Us:**
Code and Theory is a global network of agencies with a remote-first approach to our people. We have teams distributed across North America, South America, Europe, and Asia. Our global client roster includes Fortune 100s and start-ups alike.
**Compensation:**
The target range of base compensation for this role is $140k-$180k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.
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