Data Scientist/AI Engineer

This role can be based anywhere in US, Canada, or Europe. Currently, we are looking for data scientsts with experience in enterprise scale deep learning, forecasting and decisioning model. You are an awesome problem solver who is both methodical and creative. You can learn any new technology, are not ashamed of admitting errors, love to take on new challenges, and a great team player. Strong algorithmic background is required and will be thoroughly evaluated. Strong at-scale experience building decisioning models using Deep Reinforcement Learning or other approaches is a must. Experience building large scale models with RNNs, CNNs and Gradient Boosting is desired but not required. Experience building and deploying high performance deep-learning models using either Tensorflow or PyTorch on significant complexity industrial/commercial data-sets is a must. Preference will be given to candidates with significant time-series modeling experience. Computer vision and NLP experience is a plus.

### We'd love to chat if you have:

• A PhD or MS in an analytical field such as CS, EE, Statistics, Math, or Physics, from a top 20 research university, along with a minimum 2 years industry experience building reference-able work.
• Proficiency in Python and machine learning libraries such as Scikit-learn, Pandas, Tensorflow, PyTorch, etc
• Demonstrated strong experience with deep learning
• Experience deploying end-to-end ML models to production
• Experience with time-series data analysis
• Experience in software engineering
• Quick learner, ability to learn independently
• Comfortable with remote work and distributed team
• Excellent written and oral communication skills

### Extra Brownie Points:

* Familiarity with Web Dev tools such as Flask and JavaScript is a plus

* Experience with Docker, and Kubernetes

* "Big Data" solutions such as Spark, and Kafka

* Experience with cloud environments such as AWS/GCP/Azure

If you want to get...