Senior AI Engineer Specialist

Overview

Lead design and development of AI solutions that leverage generative AI architectures.

Responsibilities

• Design scalable AI architectures for packaging solutions.
• Lead development of internal platforms for model lifecycle management.
• Conduct feasibility studies on emerging tech.
• Establish standards for Model Governance.
• Mentor Senior AI Engineers.

Qualifications

• Expertise in Training & Alignment: Deep experience with Full-Parameter Fine-Tuning and Alignment Techniques (DPO, PPO, or KTO). Experience generating and filtering high-quality Synthetic Data for domain-specific model training.
• Systems Engineering: Expertise in high-throughput inference (vLLM, TensorRT-LLM) and low-latency vector retrieval at the scale of billions of vectors. Strong understanding of distributed computing (Ray, Kubernetes, or Spark).
• Strategic Benchmarking: Ability to design domain-specific evaluation moats that go beyond public benchmarks to measure real-world packaging design utility.
• Knowledge of deploying distilled models to edge devices or client-side environments.
• A known contributor to the AI ecosystem (e.g., maintainer of a popular library or published research).
• Esko is proud to be part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s global network of associates, you join a culture where purpose meets possibility—where the work you do has an everyday impact on the resources the world relies on. Together, we’re Safeguarding the World’s Most Vital Resources™.
• Contact @KaranGadi
• At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
• Unsolicited Assistance

Nice to have

• Knowledge of deploying models to edge devices.
• Experience with Vision-Language Models.