AWS Big Data - Sr. Machine Learning Engineer - Up to 150k - Downtown Chicago
Required Skills: AWS, Python, Tensorflow, Pytorch, SQL, Sagemaker, Numpy, Pandas, Keras, random forest, XGBoost (3 years of Data Science Production Experience Required)
Responsibilites:
* Build Client's Services and ML platform to enable major AI and Data Science use cases
* Oversee and Implement the ML lifecycle (end to end) including data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment, and end-to-end workflow management
* Work on ML and Deep Learning capabilities at large scale by creating the necessary systems, tools, technologies, and integrations as part of the ML Platform offering
Requirements:
* Bachelor's, MS or PhD in computer science or related quantitative field. (3 years of Data Science experience (Production) )
* Expertise in using Python, C++, or other programming language
* Substantial experience with unstructured data sources, especially in areas such as spatiotemporal data, video/image, speech or text data
* Proficiency in, at least, one modern deep learning engine such as Tensorflow, PyTorch etc.
* Proven track record of innovation in creating novel algorithms and advancing the state of the art
* Passion for creating new technologies with high product impact
Benefits:
* Competitive Base Salary - plus Bonus
* 401k Matching
* Unlimited Vacation Policy
* Flexible Spending Account (FSA)
* Disability Insurance
* Dental / Vision / Health Insurance / Life Insurance
* Wellness Programs
* Onsite Gym
* Tuition Reimbursement Program
