18 ott - Pavia
Accenture
Overview
In this role you will design and operationalize enterprise AI/ML solutions, combining custom models with cloud and external services to deliver production-ready outcomes. You will own the full solution lifecycle—from problem framing to scalable data pipelines and MLOps/LLMOps, ensuring high value and reliability. You will customize DL/Gen AI models and work on edge/HPC deployments, research new AI techniques, and collaborate with diverse teams to deliver end-to-end solutions. This is an opportunity to influence client outcomes with scalable, production-grade AI systems.
Responsabilità
- Formulate real-world problems into scalable AI/ML solutions
- Develop and deploy ML models and scalable data pipelines with DevOps & MLOps
- Customize Deep Learning and Gen AI models for client use cases
- Engage in R&D; of AI and HPC algorithms and simulations
- Process large-scale datasets and optimize data preprocessing
- Implement and maintain efficient storage/retrieval for models and knowledge
- Justify model approaches to business problems
- Collaborate with cross-functional teams to achieve production goals
Requisiti fondamentali
- Significant experience deploying models in production at scale with monitoring, alerting, and auditing
- Solid foundations in computer science principles (systems, architecture, programming)
- Experience with distributed computing systems and cloud/large-scale environments
- Experience building and deploying AI/ML software to cloud environments
- Strong written and verbal communication
- Client-facing consulting skills
- Cross-functional collaboration
- Python; python-based ML frameworks (TensorFlow, PyTorch)
- Experience with language models and LLM APIs
- Programming languages: Python, C++, Java, R, SQL
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