SR. Machine Learning Engineer, Enterprise AI Systems
Core
Design, implement, and deploy production-grade AI/ML algorithms and agentic AI applications embedded directly into software products for enterprise users.
Role type
Senior IC Machine Learning Engineer (Enterprise AI)
Builds
Scalable machine learning solutions, agentic AI workflows, RAG systems, and intelligent automation features
Domain
Enterprise retail technology, AI/ML, Knowledge Graphs
Deliverable
production ML models | product features
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, Pandas, Google Cloud Platform (Vertex AI, BigQuery ML), MLOps, CI/CD, SQL, NoSQL, Vector databases, Microservices, Distributed systems, Software engineering best practices
Preferred skills
Agentic AI application design, LLM-powered solutions, Retrieval-augmented generation (RAG), Intelligent automation workflows, Knowledge graph engineering, Network analysis, Semantic search, Enterprise knowledge layers, Scalable data pipeline architecture, Feedback loop architectures
Technologies
Python, PyTorch, TensorFlow, Scikit-learn, Pandas, Vertex AI, BigQuery, BigQuery ML, Vector databases, Microservices
Responsibilities
Collaborate with product teams to create secure, reliable, scalable ML solutions; Write custom code/scripts for infrastructure automation, monitoring, and destructive testing; Configure commercial off-the-shelf solutions; Create dashboards, logging, and alerting systems; Monitor production SLOs, performance, and capacity; Provide application support and review code for best practices
Seniority
Senior, hands-on IC