Senior ML Specialist
Core
Authority on model mechanics and evaluation for a production agentic AI platform, ensuring statistically sound decisions and benchmarks for autonomous customer success workflows.
Role type
Senior IC machine learning specialist (agentic AI)
Builds
Autonomous customer success agents and evaluation frameworks for a retail media optimization platform
Domain
Generative AI / Agentic AI / Retail Media
Deliverable
production ML models
Required skills
statistical hypothesis testing, transformer architecture theory, LLM fine-tuning (LoRA/PEFT), classical ML/NLP, evaluation methodology design, production Python (PyTorch, FastAPI), LLM API integration
Preferred skills
retrieval systems, agent evaluation, model cost/latency optimization, Databricks, observability stacks, Model Context Protocol
Technologies
PyTorch, scikit-learn, Hugging Face, FastAPI, Pydantic, OpenAI, Anthropic, Google, Databricks, Azure, Docker, OpenTelemetry, Grafana, Loki
Responsibilities
Design evaluation methodology for AI systems, build classifiers and fine-tuned models, diagnose model behavior from first principles, ship and monitor production code, decide model routing strategies
Seniority
Senior, hands-on IC
