Machine Learning Engineer
Core
Design, build, and maintain robust, scalable AI solutions and multi-agent systems within a DevOps environment.
Role type
Machine Learning Engineer
Builds
Production AI solutions, multi-agent systems, and RAG systems
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, TensorFlow, Pytorch, Large Language Models (LLMs), AI agents & agentic workflows, LLM orchestration, data preprocessing, feature engineering, model evaluation, statistical concepts, linear algebra, optimization, version control, testing
Preferred skills
RAG systems, function/tool-calling capabilities, system prompt optimization, few-shot examples
Technologies
TensorFlow, Pytorch
Responsibilities
Develop, deploy, and optimize machine learning and AI solutions; Create multi-agent systems and equip AI models with function/tool-calling capabilities; Design and implement RAG systems; Assess and integrate AI models; Optimize agentic workflows; Test and optimize system prompts and few-shot examples; Evaluate performance of ML models; Collaborate with platform teams and data engineers; Participate in code reviews, testing, and debugging
Seniority
Mid-level, hands-on IC