Employer: Soothsayer Analytics
Soothsayer is seeking Machine Learning Engineer who has an interest in solving challenging ML/ AI problems. The Data Science team works on a variety of exciting analytics (ML, AI) projects.Job Description:Solve cutting edge, challenging problems working alongside a great team of world class data scientists and analytics expertsHaving a passion for solving interesting and challenging big data problemsCommunicate results to scientific, business, and stakeholdersMine data to prototype models for targeting and personalizationCollaborate with other engineers, data scientistsEducation and Experience:PhD in computer science, Physics, Statistics, applied Mathematics, or other quantitative/ Computational discipline or Master’s with over 4 year of real time relevant real-time Industry experience as a DATA SCIENTIST is a MUST.Experience with building Machine Learning solutions with Python 3 and pysparkExperience in building recommendation engines on large datasets with multiple formatsExperience in working with Graph databases and algorithmsKnowledge of deep learning methods (autoencoders, embeddings etc.) using Pytorch, Tensorflow etc. and semi-supervised learningPreferred deep learning with distributed computingFamiliarity with MLOpsData engineering experience, including SQL and manipulating large structured or unstructured datasets for analysisStrong hands on experience in implementing machine learning algorithms and modelsExcellent data presentation skillsTHIS IS NOT AN INTERNSHIP POSITION AND IMMEDIATE NEED. MINIMUM QUALIFICATION IS PhD or Master’s with at least 1 year of real-time relevant Industry experience.PLEASE READ THE MINIMUM QUALIFICATIONS BEFORE APPLYING.Covid-19 update: Currently work remotely, please be ready to start working from our office in Detroit, from August 1, 2020.