ML Engineer designing and deploying innovative AI products for Workday's ecosystem. Collaborating on cutting-edge solutions for optimization and semantic retrieval.
Responsibilities
Design and deploy sophisticated reasoning and swarm agents
Develop algorithms for automated node-level optimization
Build hybrid agentic search systems
Engineer cloud-based pipelines and A/B testing frameworks
Own the end-to-end MLOps process
Identify ML opportunities and propose solutions
Requirements
3+ years of experience researching, developing and deploying production-grade ML systems
Expertise in deep learning, NLP, Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow
Proven track record of building and evaluating LLM-powered products
Expertise in RAG architectures, agentic frameworks, and long-context LLM applications
Expert-level Python skills
Hands-on experience with the full ML lifecycle including model fine-tuning and cloud-native deployment
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