Solutions Engineer (AI/ML, Pre-Sales)

We are looking for a highly technical Solutions Engineer with deep ML and AI platform experience to support customers in a pre-sales role. The role requires strong hands-on understanding of modern LLM/VLM training and evaluation, and the ability to design scalable solutions that demonstrate the impact of DatologyAI’s platform.

Requirements

• 4+ years of experience in software, ML platform, solutions, or customer engineering roles, with significant experience driving technical pre-sales engagements and PoCs.
• Strong practical expertise in ML model training, including how models are trained and improved across pre-training, domain-specific mid-training, and post-training.
• Demonstrated ability to design, run, and interpret model evaluations for base and post-trained models.
• Strong programming skills in Python (or equivalent); able to prototype quickly and iterate with customers.
• Experience with data processing / distributed systems (e.g., Spark, Ray, data lakes/warehouses) and comfort working with large-scale datasets.
• Familiarity with modern ML infrastructure: PyTorch/Hugging Face ecosystems, distributed training concepts, and deployment environments across cloud/on-prem/hybrid.
• Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
• Strong communication skills, with the ability to translate complex ML and systems topics for diverse audiences.
• Required to travel to customer sites as needed to support pre-sales engagements.

Benefits

• 100% covered health benefits (medical, vision, and dental).
• 401(k) plan with a generous 4% company match.
• Unlimited PTO policy
• Annual $2,000 wellness stipend.
• Annual $1,000 learning and development stipend.