Machine Learning Engineer
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 experts
- Having a passion for solving interesting and challenging big data problems
- Communicate results to scientific, business, and stakeholders
- Mine data to prototype models for targeting and personalization
- Collaborate with other engineers, data scientists
Education 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 pyspark
- Experience in building recommendation engines on large datasets with multiple formats
- Experience in working with Graph databases and algorithms
- Knowledge of deep learning methods (autoencoders, embeddings etc.) using Pytorch, Tensorflow etc. and semi-supervised learning
- Preferred deep learning with distributed computing
- Familiarity with MLOps
- Data engineering experience, including SQL and manipulating large structured or unstructured datasets for analysis
- Strong hands on experience in implementing machine learning algorithms and models
- Excellent data presentation skills
THIS 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.