23 ott - Lazio
Accenture
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 DevOps/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 DevOps/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; TensorFlow; PyTorch
Experience with language models (LLMs) and optimizing their usage
Programming languages: Python, C++, Java, R, SQL
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