Snowflake Advanced AI Engineer,
$70,350–$205,800 year
On-siteNashville, Tennessee, United States
Job Summary
Formulate real-world problems into scalable AI and machine learning solutions by designing custom models that combine Deep Learning, Generative AI, and Large Language Models with cloud and third-party services. Develop and implement machine learning algorithms and computational systems, building scalable data pipelines to support model training and production using DevOps and MLOps frameworks. Customize and apply AI models for various use cases based on business needs, data availability, and system requirements, including edge devices and high-performance computing environments. Engage in research and development of new AI algorithms and simulations to solve complex business problems at client sites while collaborating with cross-functional teams from business and technical sides to achieve end-to-end project goals.
Required Qualifications
- Minimum of 2 years of hands-on experience across Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex Search
- Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing
- Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
- Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
- Minimum of 1 year of experience in building and deploying AI/ML based software to a cloud environment
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)
- Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
- Strong client-facing skillsets in a consulting environment
- Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
- Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
- Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)
- Experience working with language models like LLM's APIs and optimizing their usage for specific applications
- Experience with the following programming languages: Python, C++, Java, R, SQL
- MS or PhD in related field preferred (computer science, engineering, etc.)
- Valid work authorization in the United States
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