AI engineer

TD SYNNEX is hiring an AI Engineer for their European Data Practice to build production-ready AI systems. The role involves designing and deploying AI models, developing pipelines on Databricks, integrating AI with enterprise systems, and optimizing inference. Requires 3+ years experience with Python, ML libraries, and cloud platforms.

• Designing, building, and deploying production-ready AI models and systems.
• Developing robust pipelines for training, fine-tuning, evaluation, deployment, and monitoring on Databricks.
• Integrating AI with enterprise systems via secure API orchestration.
• Optimizing inference performance through techniques like quantization, pruning, and model distillation.
• Applying RAG/CAG architectures to improve model accuracy and reliability.
• Maintaining AI systems in production: drift detection, monitoring, logging, and retraining.
• Implementing trust, compliance, and governance principles in all deployed solutions.
• Collaborating with business stakeholders and product teams to translate requirements into impactful AI products.

• 3+ years of applied AI/ML engineering experience.
• Advanced Python skills and proficiency with ML/DL libraries (PyTorch, TensorFlow, HuggingFace).
• Hands-on experience with Databricks and MosaicML for production AI workflows.