Deep AI Native Software Engineering

Overview

As an AI/ML Computational Scientist, you will design and operationalize AI solutions for enterprise clients, combining custom models with cloud and third‑party AI services. You’ll span the full lifecycle from needs assessment to production-ready deployments, including DevOps & MLOps pipelines and large-scale data handling.

You’ll tailor Deep Learning, Gen AI, and LLM applications to client needs and scale them across systems and edge devices. This role centers on delivering measurable value, reliability, and impactful AI-driven outcomes. Join a global, innovation‑led team that collaborates across business and technical stakeholders to accelerate digital transformation.

Responsabilità

• Formulate real-world problems into scalable AI/ML solutions
• Develop and implement ML algorithms and scalable data pipelines for model training and production
• Customize DL and Gen AI models for varied use cases based on business data and infrastructure
• Engage in R&D of AI and HPC algorithms and their client applications
• Work with large-scale datasets and apply data preprocessing for high-quality training inputs
• Implement and maintain efficient data storage and retrieval for models and knowledge
• Justify model approaches to business problems
• Collaborate with cross-functional teams to achieve end-to-end project goals and production integration

Requisiti fondamentali

• Work or coursework experience in ML engineering/science with production deployments at scale (monitoring, alerts, auditing)
• Experience with computer science foundations including system architecture and programming
• Strong written and verbal communication to translate technical concepts for non-technical stakeholders
• Strong client-facing and consulting capabilities
• Cross-functional collaboration with diverse teams
• Python and Python-based ML frameworks (TensorFlow, PyTorch)
• Experience with LLM APIs and optimizing their usage
• Programming languages: Python, C++, Java, R, SQL

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