Full-Time Lead Engineer MLOps

Our AI/ML engineering team ensures Code and Theory delivers innovative, immersive web experiences. We balance cutting-edge technology with high performance, security, and accessibility. Collaborating with engineering, design, and QA, you'll build software for incredible clients.

We seek an experienced Lead ML+DevOps Engineer.

What You'll Do:

• Design and implement MLOps pipelines for consistency.
• Configure and manage cloud resources (AWS, GCP, Azure) supporting AI/ML workloads, using containerization.
• Automate model deployment and management via scripts/tools.
• Collaborate with data scientists and engineers to develop MLOps solutions.
• Monitor and optimize AI/ML infrastructure by analyzing performance and identifying bottlenecks.
• Stay current with industry trends and best practices, improving MLOps capabilities.

What You'll Need:

• Extensive experience deploying machine learning models to cloud environments.
• Strong expertise in Docker container orchestration.
• Proficiency in Terraform for infrastructure as code (IaC) and cloud resource management.
• Experience with streaming data platforms (e.g., Kafka, Kinesis).
• Solid understanding of data cleaning, transformation, and ETL processes.
• Experience with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI).
• Strong programming skills in Python.
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
• Excellent problem-solving, critical thinking, and communication skills.

What is the last date for applying to the job?

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