Machine Learning Engineer
Core
Develop and deploy AI solutions (Computer Vision, NLP, Agentic AI) for a high-load ecosystem serving logistics and customer service automation.
Role type
Senior Machine Learning Engineer (AI/LLM)
Builds
AI agents, RAG systems, and production ML models for a communication platform
Domain
AI/ML, Logistics, Customer Service
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, ONNX, TensorRT, LLMs, Transformers, RAG, AI Agents (Langchain, CrewAI, AutoGen), Cloud AI integration
Preferred skills
Multi-agent system architecture, LLM document generation, Enterprise LLM integration
Technologies
Python, PyTorch, TensorFlow, Scikit-learn, ONNX, TensorRT, Langchain, CrewAI, AutoGen, Google AI, OpenAI, Claude
Responsibilities
Full-cycle ML model development (data prep to validation), Building AI agent logic, Model serving (ONNX/TensorRT export, containerization), Defining integration specs for backend, Model optimization (quantization, pruning), Monitoring model quality and drift detection
