What are the responsibilities and job description for the AI/ML Architect position at Relanto?
About Us: Relanto.ai is a leading AI-driven solutions provider committed to building robust, scalable, and efficient machine learning infrastructure. Our mission is to empower businesses with innovative AI solutions that enhance decision-making and drive growth.
Job Description: We are seeking an experienced AI/ML Architect to join our growing team. This role requires expertise in Google Cloud services, model deployment strategies, and infrastructure automation to support large-scale production environments.
Key Responsibilities:
- Develop and manage MLOps pipelines on Google Cloud to support large-scale production applications.
- Deploy, monitor, and optimize machine learning models using Google Vertex AI, Dialogflow, and Google Cloud Run.
- Implement Infrastructure as Code (IaC) using Terraform for scalable and automated deployments.
- Ensure CI/CD integration, model versioning, and efficient model retraining strategies.
- Collaborate with data scientists, software engineers, and DevOps teams to streamline ML workflows.
- Monitor model performance, troubleshoot issues, and ensure production stability.
Required Skills & Experience:
- 8-15 years of overall experience in MLOps, Machine Learning, or DevOps.
- Strong hands-on experience with Google Cloud (GCP), Google Vertex AI, and Dialogflow.
- Proficiency in Google Cloud Run for deploying ML models as scalable services.
- Experience with Terraform for managing cloud infrastructure.
- Expertise in CI/CD pipelines, model monitoring, and cloud automation.
- Strong programming skills in Python and familiarity with ML frameworks.
- Ability to work hands-on while collaborating with cross-functional teams.
Why Join Us?
- Opportunity to work on innovative AI/ML projects with cutting-edge technologies.
- Collaborative work environment that values growth and learning.
