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AI Engineer – Advisor Software
Rockwell AutomationAI Engineer at Rockwell Automation, implementing and deploying AI systems and collaborating with teams on technical infrastructure.
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Set up the technical infrastructure required for AI systems, including hardware, software, and data storage solutions.
- Design and configure computing environments to support the execution of AI models.
- Optimize AI models and algorithms for efficient execution and scalability.
- Automate AI infrastructures for the data science team.
- Leverage techniques such as model pruning, quantization, and parallel computing to reduce computational requirements and improve performance.
- Integrate AI systems into existing software frameworks or platforms, ensuring compatibility and seamless interaction with other components.
- Define APIs and protocols for communication between AI systems and external services.
- Implement and maintain CI/CD (Continuous Integration and Continuous Delivery) pipelines to automate the deployment, testing, and monitoring of AI systems.
- Ensure rapid and reliable software releases.
- Monitor the performance and health of AI systems, detecting and addressing issues, such as system failures, performance degradation, or data inconsistencies.
- Apply debugging and troubleshooting techniques to resolve technical problems.
Requirements
What you’ll need- Bachelor's Degree
- Legal authorization to work in the US is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
- Typically requires 2+ years of relevant experience in software development.
- Proficiency in AI programming languages, such as Python, Java, C#, or C++, is vital for AI engineers to develop and maintain software applications and systems.
- Familiar with popular AI frameworks and libraries, such as TensorFlow or PyTorch, and understand how to leverage them for efficient model building and deployment.
- Knowledge of cloud platforms, such as Amazon Web Services or Microsoft Azure, enables AI engineers to deploy and manage AI systems in scalable and cost-effective environments.
- Have expertise in distributed computing frameworks to optimize large-scale data processing efficiently.
- AI engineers design and implement effective data pipelines, data storage systems, and workflow automation to manage the flow of data.
- Ensure optimal performance of AI systems.
Benefits
Comp & perks- Health Insurance including Medical, Dental and Vision
- 401k
- Paid Time off
- Parental and Caregiver Leave
- Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
ATS Keywords
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Hard Skills & Tools
PythonJavaC#C++TensorFlowPyTorchCI/CDmodel pruningquantizationparallel computing
Certifications
Bachelor's Degree