3 months ago
Lima, PeruMid Level / Senior
Responsibilities
- Design and implement scalable pipelines for deploying agentic AI models.
- Build and maintain cloud infrastructure on GCP or AWS for AI lifecycle management.
- Develop automated workflows for CI/CD and continuous training of AI models.
- Implement monitoring systems to track performance and decision-making accuracy.
- Integrate security best practices throughout the MLOps lifecycle.
- Collaborate with AI researchers and software engineers to align MLOps processes.
- Establish data and model governance frameworks for AI systems.
Requirements
- 4+ years of experience in MLOps, DevOps, or a related field.
- At least 1 year of experience deploying and managing AI/ML models in production.
- Deep hands-on experience with GCP or AWS and relevant services.
- Strong knowledge of MLOps tools and frameworks, including containerization with Docker.
- Expertise in Python and familiarity with automation scripting.
- Experience with monitoring tools like Lantrace and AWS CloudWatch.
- Understanding of security principles related to cloud and MLOps.
- Knowledge of ethical AI principles and compliance regulations.
- Strong interpersonal and communication skills.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
Benefits
- 100% Remote work.
- Contractor position available for Latin American candidates.
- Holidays off.
- Paid time off.
- Health insurance assistance program.
- Competitive pay in USD.
- Excellent teamwork and work environment.
- Training opportunities.