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Job Description:
Goal of the position:
The person on this position is a part of AICOE - Technical Platform team at Global Service Center. As an AI/ML Ops Engineer, you will be responsible for deploying, and managing generative AI solutions in production and non-production environment. You will work closely with data scientists, software engineers, and IT teams to ensure the smooth operation and scalability of AI solutions. This role requires a strong understanding of both AI/ML concepts and DevOps practices.
Duties and responsibilities:
- Design, implement, automate, and manage Generative AI solutions CI/CD pipelines and infrastructure.
- Deploy and monitor AI models in cloud environments.
- Collaborate with AI Engineers to optimize and scale AI models.
- Ensure the reliability, scalability, and performance of AI systems.
- Manage cloud-based AI/ML services, particularly in AWS or Azure.
- Implement and monitor security best practices for AI/ML environments.
- Troubleshoot and resolve issues related to AI/ML systems.
- Develop and maintain documentation for AI/ML workflows and processes.
- Provide guidance and support to other teams on AI/ML best practices and utilization.
- FinOps monitoring cloud resources and optimizing usage.
Skills and Expertise:
- Expertise in cloud platforms, particularly AWS or Azure.
- Strong knowledge of AI concepts.
- Proficiency in programming languages such as Python, .Net.
- Knowledge of containerization technologies (e.g., Docker, Kubernetes).
- Experience with CI/CD tools and practices like Github and Github Actions.
- Familiarity with infrastructure as code (IaC) tools such as BICEP, Terraform or CloudFormation.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration abilities.
Minimum Qualifications:
- Experience with DevOps practices and tools.
- 3+ years of experience in cloud engineering or MLOps.
- Experience deploying and managing and providing support to cloud resources in production.
- Proficiency with cloud-based AI/ML services (AWS SageMaker, Azure ML, etc.).
Preferred Qualifications:
- Bachelor’s degree in computer science, Engineering, or a related field.
- Experience deploying and managing AI models in production.
- Experience with Generative AI frameworks and libraries.
- 5+ years of experience in DevOps/MLOps.
- Experience with AI/ML in a manufacturing or industrial context.
- Certification in AWS, Azure, or relevant AI/ML technologies.
- Knowledge of data engineering principles and practices.
Why Join Us:
- Opportunity to work with cutting-edge AI/ML technologies.
- Collaborative and innovative work environment.
- Professional development and growth opportunities.
- Competitive salary and benefits package.
- Contribution to impactful AI initiatives in a global company.
Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Twitter @3M.
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Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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