This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. Leverage GCP for scalable big data processing and storage solutions. Experience with batch pipelines supporting Machine Learning workloads.
You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into
Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization mod
Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Strong Python skills for data analysis