Senior Machine Learning Engineer
Core
Design and implement large-scale, production-grade distributed systems and infrastructure to power AI features and generative AI for millions of daily users.
Role type
Senior Machine Learning Engineer (Infrastructure & Systems)
Builds
Scalable distributed production infrastructure, data pipelines, and interfaces for transitioning ML/LLM models to production.
Domain
Enterprise SaaS / Generative AI / Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
System design, Python, distributed processing (Spark/Dask), SQL, production operations, incident response, technical debt management, ML model integration
Preferred skills
LLM fine-tuning, ML tooling (MLFlow, TensorFlow, PyTorch), data orchestration (Airflow, Prefect)
Technologies
Python, Spark, Dask, AWS, Kubernetes, MLFlow, TensorFlow, PyTorch, Airflow, Prefect
Responsibilities
Own architecture decisions for distributed systems, mentor junior engineers, collaborate with Applied Scientists to productionize models, manage technical debt, deploy to production environments.
Seniority
Senior, hands-on IC
