Machine Learning Engineer
Core
Building production-grade ML models and pipelines to transform unstructured industrial data (manuals, P&IDs) into actionable intelligence for operational efficiency and safety.
Role type
Senior Machine Learning Engineer (Industrial AI)
Builds
Real-time industrial contextualization platform, data pipelines, and ML APIs
Domain
Industrial digitalization, AI, and data solutions
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Hugging Face, LangChain, SQL, PySpark, Docker, Linux, MLOps basics, cloud services (AWS/Azure/GCP)
Preferred skills
Vision-Language Models (VLMs), Computer Vision, RAG pipelines, Vector Databases (Pinecone/Milvus/Qdrant), agentic frameworks (LangGraph), columnar data (Parquet/Delta Lake/Iceberg), OCR for PDFs
Technologies
PyTorch, TensorFlow, Hugging Face, LangChain, Docker, FastAPI, Flask, Pinecone, Milvus, Qdrant, Parquet, Delta Lake, Apache Iceberg
Responsibilities
Build and maintain robust data pipelines for large-scale industrial datasets; Deploy data science prototypes to production; Write high-quality, testable Python code for RESTful/gRPC APIs; Containerize applications and handle massive unstructured data volumes; Run experiments and fine-tune foundational models (NLP, Vision-Language); Write unit/integration tests and monitor deployed models for drift
Seniority
Mid-Senior, hands-on IC
