Deep Ai Native Software Engineer

Accenture; Milano; In loco; EUR 80.000 - 110.000; Tempo pieno

Descrizione del lavoro

Accenture Milano seeks a hands-on ML Engineer to design, build, and operationalize AI/ML solutions for enterprise clients. You will lead end-to-end deployment with DevOps/MLOps, tailoring DL and Gen AI approaches to business problems while handling large datasets and scalable infrastructure.

The role emphasizes production-grade ML, real-time monitoring, and collaboration with cross-functional teams to deliver measurable business value in client environments.

Competenze

• Bachelor's degree or equivalent.
• Proven experience deploying ML models in production with monitoring and auditing.
• Experience with distributed computing, big data, HPC, and cloud-based AI/ML deployment.
• Hands-on experience building and deploying AI/ML software to a cloud environment.
• Strong written and verbal communication; client-facing in a consulting context.

Mansioni

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms and data pipelines for training and production with DevOps/MLOps.
• Customize DL and Gen AI models for diverse use cases.
• 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 deliver end-to-end project goals and integration.

Conoscenze

Python

TensorFlow

PyTorch

Distributed computing

Big data

Cloud deployment

Communication

Client-facing

Cross-functional collaboration

Formazione

Bachelor's degree or equivalent

Descrizione del lavoro

In 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.

• Formulate 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
• Bachelor'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

Deep AI native software engineer milano, lombardia, it