Overview

In this role you will translate real-world problems into scalable AI/ML solutions for enterprise clients. You will design and implement models, build end-to-end data and ML pipelines, and operate systems with Dev Ops/MLOps practices. You’ll customize deep learning and Gen AI models to meet business needs and work on research-driven algorithms for large-scale environments. You will collaborate across business and technical teams to deliver production-ready outcomes that drive client value.

Responsabilità

- Formulate practical AI/ML solutions from client problems
- Develop models and scalable pipelines for training and production with Dev Ops/MLOps
- Customize DL and Gen AI models for diverse use cases
- Engage in R&D; of AI/HP compute algorithms and simulations
- Handle large-scale datasets with effective preprocessing
- Implement efficient data storage/retrieval for models and knowledge
- Justify model approaches in business contexts




- Collaborate with cross-functional teams to achieve end-to-end production goals

Requisiti fondamentali

- Proven experience as a machine learning engineer or scientist deploying models in production at scale, with monitoring and auditing
- Strong foundations in computer science concepts, system architecture, and programming
- Experience with distributed computing, big data, HPC, and cloud environments
- Experience building and deploying AI/ML software to cloud platforms

- Strong written and verbal communication
- Client-facing consulting skills
- Cross-functional collaboration
- Python; Tensor Flow; PyTorch
- Experience with language models (LLMs) and optimizing their usage
- Programming languages: Python, C++, Java, R, SQL

📌 AI/ML Computational Scientist Manager (Roma)
🏢 Accenture
📍 Roma