AI / ML Engineer
Core
Design, build, and maintain scalable ML pipelines and deploy production-ready AI systems leveraging cloud services and GenAI models.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Production ML systems, model serving infrastructure, and CI/CD pipelines for marketing applications
Domain
Cloud AI, Machine Learning Operations, Multi-cloud environments
Deliverable
production ML models
Required skills
Machine Learning Operations, ML Pipeline Development, Model Deployment & Serving, CI/CD Automation, Model Lifecycle Management, Monitoring & Optimization
Preferred skills
Multi-cloud skills, Experience with Machine learning frameworks (via careerplan.io/jobs/ATCI-5008344-S1866109-1-ai-ml-engineer-at-accenture)
Technologies
Docker, FastAPI, AWS, GitHub Actions, MLflow, Airflow
Responsibilities
Design and implement production-ready ML systems; Deploy machine learning models as robust, secure services; Implement CI/CD pipelines for ML projects; Orchestrate end-to-end ML lifecycle including versioning and model registry; Monitor model performance, data drift, and system health in production
Seniority
Senior, hands-on IC
