Machine Learning Engineer
Core
Design, develop, and test AI solutions for industrial and manufacturing research projects, focusing on computer vision, NLP, and generative AI.
Role type
Machine Learning Engineer (Generative AI & Computer Vision)
Builds
Production ML models and agentic AI solutions for quality control and human-machine interaction
Domain
Industrial manufacturing / Industry 5.0
Deliverable
production ML models
Required skills
Python, SQL, Pandas, NumPy, Large Language Models (LLM), LangChain, LangGraph, CrewAI, LlamaIndex, RAG, Prompt Engineering, Deep Learning frameworks (PyTorch/TensorFlow), Computer Vision algorithms, Vector Databases (ChromaDB, Pinecone), Cloud platforms (AWS/GCP/Azure), Git
Preferred skills
Experience with open-source model ecosystems (Hugging Face, Ollama)
Responsibilities
Support creation and training of ML/Deep Learning models for real-world use cases; Develop advanced text-based solutions using Generative AI and Agentic AI architectures; Assist in data collection, cleaning, and preparation for algorithm training; Collaborate with software teams to integrate AI models into broader platforms; Explore new models and libraries to solve technical challenges
Seniority
Mid-level, hands-on IC