Applied AI Engineer

Applied AI Engineer

Requirements

• 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
• Proficient in Python.
• Expertise in AI frameworks and libraries, such as scikit-learn, PyTorch, Hugging Face Transformers, LangChain, and OpenAI APIs.
• Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
• B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.

Responsibilities

• Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment.
• Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment to maximize business impact.
• Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
• Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
• Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
• Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
• Annual travel up to 25%.

Preferred Qualifications

No preferred qualifications provided.