Snowflake Advanced AI Engineer

Experteer Overview As a Snowflake Advanced AI Engineer, you will design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You guide the full solution lifecycle from needs assessment to deployment, focusing on Gen AI, LLMs, and scalable MLOps pipelines. You work with large datasets and collaborate across business and technical teams to drive measurable value. This is a chance to impact client AI transformations at scale in a fast-moving, innovation-led environment. Compensation / Benefits * Transform real-world problems into scalable AI/ML solutions * Develop ML algorithms and scalable data pipelines with DevOps & MLOps support * Customize and apply Deep Learning and Gen AI models across use cases * Research new AI algorithms and HPC techniques with client applications * Prepare high-quality training/production data and data preprocessing * Implement efficient storage/retrieval for models and knowledge * Justify model approaches to address business problems * Collaborate with cross-functional teams to deliver end-to-end production solutions Tasks * Minimum 2 years hands-on Snowflake Cortex AI experience * Minimum 3 years as ML engineer or scientist deploying models in production at scale * Minimum 3 years understanding computer science foundations and programming * Minimum 1 year experience in distributed computing systems and cloud computing * Minimum 1 year experience deploying AI/ML software to cloud environments * Bachelor or equivalent experience (12 years) Key requirements * medical, dental, vision, life, and long-term disability coverage * 401(k) plan * bonus opportunities * paid holidays * paid time off

with and knowledge * Justify model approaches to address business problems * Collaborate with cross-functional teams to deliver end-to-end production solutions Tasks * Minimum 2 years hands-on Snowflake Cortex AI experience * Minimum 3 years as ML engineer or scientist deploying models in production at scale * Minimum 3 years understanding computer science foundations and programming * Minimum 1 year experience in distributed computing systems and cloud computing * Minimum 1 year experience deploying AI/ML software to cloud environments * Bachelor or equivalent experience (12 years) Key requirements * medical, dental, vision, life, and long-term disability coverage * 401(k) plan * bonus opportunities * paid holidays * paid time off