Senior Associate Applied Artificial Intelligence / Machine Learning

What you'll do

• Design, build, and iterate on generative AI and machine learning applications.
• Translate business requirements into technical AI/ML specifications and milestones using Agile methodology.
• Evaluate LLM-powered applications using curated test sets, automated scoring, and human review.
• Partner with engineering teams to productionize solutions and monitor latency, cost, and quality.
• Apply responsible AI practices to meet model risk and governance requirements in a regulated environment.
• Execute strategic roadmaps to drive AI innovation and set the technical vision.
• Contribute to experimentation, validation, and the production of scalable, trustworthy solutions.

What we're looking for

• Three years of experience developing AI/ML applications.
• Advanced degree in Computer Science, Data Science, Statistics, or an equivalent field, or equivalent practical experience.
• Hands-on experience building applications with large language models, including prompt engineering, context management, and output parsing.
• Experience evaluating AI/ML systems, including designing metrics, test sets, and experiments for non-deterministic outputs.
• Knowledge of data structures, algorithms, machine learning, data mining, and information retrieval.
• Hands-on experience applying classical machine learning and deep learning, including feature engineering, model training, and validation.
• Proficiency in Python with experience in PyTorch, scikit-learn, Hugging Face, and LangChain/Google ADK.
• Experience with agentic patterns, AWS Cloud services, or large-scale data processing (preferred).