AI / ML Engineer
Core
Design, build, and maintain scalable production-ready ML systems and pipelines leveraging cloud AI services and GenAI models.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Production ML systems, model serving infrastructure, and automated CI/CD pipelines for marketing applications.
Domain
Cloud AI, Machine Learning Operations, GenAI
Deliverable
production ML models
Required skills
Machine Learning Operations, Python, ML Pipeline Development, Model Deployment & Serving, CI/CD Automation, Model Lifecycle Management, Monitoring & Optimization
Preferred skills
Multi-cloud experience, Docker, FastAPI, MLflow, Airflow, Deep Learning, Neural Networks, Chatbots, Image Processing (via careerplan.io/jobs/ATCI-5104772-S1887674-1-ai-ml-engineer-at-accenture)
Technologies
Python, Docker, FastAPI, GitHub Actions, MLflow, Airflow
Responsibilities
Design and implement production-ready ML systems; orchestrate end-to-end ML lifecycle including versioning and model registry; implement CI/CD pipelines for automated testing and deployment; monitor model performance and data drift in production; mentor junior professionals; collaborate with multiple teams on key decisions.
Seniority
Senior, hands-on IC with mentorship responsibilities
