Senior Machine Learning Engineer - AI Platform
Core
Building AI-powered software and agentic AI solutions using LLMs and RAG to deliver critical platform capabilities and deep-value agent applications for enterprise customers.
Role type
Senior Machine Learning Engineer (AI Platform)
Builds
Production ML models, APIs/services, and cloud-based machine learning architectures for HR and Finance data.
Domain
Enterprise AI, Agentic AI, LLMs, RAG, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, software engineering, LLMs, natural language understanding, cloud computing platforms, Docker, Kubernetes, PySpark, PyTorch, TensorFlow, Sklearn, data engineering, statistical analysis, unsupervised/supervised machine learning algorithms, NLP for information retrieval
Preferred skills
Master's or PhD in engineering/data science, experience with graph-based recommendation systems, experience with autonomous agents and orchestration frameworks
Technologies
Docker, Kubernetes, AWS, GCP, PySpark, PyTorch, TensorFlow, Sklearn, Pandas
Responsibilities
Own exploration, design, and implementation of features for ML platforms and services; evaluate scalability and observability of ML features; apply ML techniques to analyze large text datasets; develop and deploy new APIs/services at scale; stay current with AI/LLM advancements; serve as a technical role model for junior engineers
Seniority
Senior, hands-on IC with technical leadership
