14 set - Milano
Accenture
OverviewIn this role you will design, build, and operationalize AI and ML solutions for enterprise clients, blending custom models with cloud and third-party services.
You will oversee the full solution lifecycle—from assessing client needs to deploying production-ready systems with robust DevOps and MLOps pipelines.
You will tailor DL, Generative AI, and LLM approaches to business problems, handling large datasets and scalable infrastructure.
You will collaborate across business and technical teams to deliver measurable value and drive innovation in client environments.
This is a hands-on, client-facing role that combines research, engineering, and production delivery at scale.
ResponsabilitàFormulate real-world problems into scalable AI/ML solutions
Develop and implement ML algorithms and scalable data pipelines for training and production with DevOps/MLOps
Customize DL and Gen AI models for diverse use cases based on business needs and infrastructure
Engage in R&D; of new AI and HPC algorithms and simulations for client applications
Work with large-scale datasets and data preprocessing for high-quality training inputs
Implement and maintain efficient model storage and retrieval systems
Justify the value of model approaches in business problems
Collaborate with cross-functional teams to achieve end-to-end project goals and production integration
Requisiti fondamentaliBachelor's degree or equivalent
Proven experience as a ML engineer/scientist deploying models in production at scale with monitoring, alerts, and auditing
Experience with distributed computing, big data, HPC, and cloud-based AI/ML software deployment
Hands-on experience building and deploying AI/ML software to a cloud environment
strong written and verbal communication
client-facing skills in a consulting environment
cross-functional collaboration
Python
TensorFlow
PyTorch
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