Job Information
3M AI/ML Ops Engineer in Asuncion De Belen, Costa Rica
3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.
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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