Machine Learning Engineer
Core
Design and develop agentic systems, machine learning models, and AI algorithms; lead implementation of scalable AI products aligned with business needs.
Role type
Senior Machine Learning Engineer (Agentic Systems & AI)
Builds
Scalable AI products, agentic systems, and production ML solutions
Domain
Artificial Intelligence, Machine Learning, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, agentic frameworks (LangChain, pydantic-ai, strands, Agent-ai), ML frameworks (TensorFlow, PyTorch, Scikit-learn), NLP, computer vision, cloud platforms (AWS, Azure, GCP)
Preferred skills
Experience in cross-functional teams, Agile methodologies (Scrum, Azure DevOps)
Technologies
AWS, Azure, GCP, LangChain, pydantic-ai, strands, Agent-ai, TensorFlow, PyTorch, Scikit-learn
Responsibilities
Design and develop agentic systems and AI algorithms; oversee scalable data pipelines and data quality controls; integrate AI components into existing systems; manage production deployments and monitoring; communicate complex AI concepts to technical and non-technical audiences
Seniority
Senior, hands-on IC