onsite
AI Operations Engineer - Conduct
Systems Engineer
AI Operations Engineer driving AI integration across GTM, finance, ops, and engineering to maximize productivity, leveraging Python, Node.js, AWS, and ML for automation and strategic workflow enhancements.
About the role
Key Responsibilities
- Design, develop, and deploy AI-driven automation solutions across multiple business domains.
- Collaborate with engineering teams to embed ML models into production workflows.
- Architect scalable, cloud-native pipelines using AWS services and CI/CD best practices.
- Identify high-impact automation opportunities and translate them into technical roadmaps.
- Monitor, troubleshoot, and optimize AI/ML model performance in live environments.
Requirements
- Proven experience with Python and Node.js for building data pipelines and microservices.
- Strong background in AWS (Lambda, SageMaker, Step Functions, S3, DynamoDB).
- Hands‑on expertise in machine learning model deployment and monitoring.
- Solid understanding of DevOps practices, CI/CD, and container orchestration.
- Excellent problem‑solving skills and a strategic mindset for automation impact.
Skills
pythonnodejsawsmachine learningcicd