Sr Applied Scientist, Applied AI Solutions
Core
Building state-of-the-art multi-agent systems and GenAI applications for business customers using large language models and foundational models.
Role type
Senior Applied Scientist (GenAI/Agentic Systems)
Builds
Production-ready multi-agent systems and customer-facing GenAI features
Domain
Cloud computing, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Large language models, agentic systems, foundational models, fine-tuning, reinforcement learning, end-to-end GenAI project management, ML model optimization, large-scale data analysis, scalable automated processes
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, C/C++, Java, Perl, neural deep learning methods
Technologies
LLMs, agentic frameworks, fine-tuning tools, reinforcement learning libraries, Spark, Hadoop, TensorFlow, PyTorch (implied by deep learning), Python, Java, C++
Responsibilities
Drive end-to-end GenAI projects from conception to production, Build and deploy ML models with software engineers, Research innovative ML approaches for GenAI, Analyze large datasets for actionable insights, Establish scalable processes for model development and validation, Present results to senior leadership
Seniority
Senior, hands-on IC