ADS Environmental | Developers, Data Scientists | Remote | Contract or Full-Time, www.adsenv.com
ADS is helping create a cleaner and safer environment by bringing exceptional insight and intelligence to municipalities around the world through our hardware and software products. We're very passionate about the products we create because of the positive effects it has on millions of people around the globe.  We're part of the IDEX Corporation family, recently rated one of the world's most trusted companies.  We're seeking full-stack developers and data scientists who can help us create compelling and award-winning software applications as part of a high-performance software and data science team.
Tech Stack:
  Front End: Angular, TypeScript, Google Material Design, HighCharts

  Middle-Tier and Backend: .NET Core (C#) using WebAPIs, CosmosDB, SQL Server, Redis, Linux

  Data Science:  Python, NumPy/SciPy, Pandas, Jupyter Notebooks, Scikit-Learn, Keras, TensorFlow GPU, Deep Learning (CNN, RNN).  Anomaly Detection.  Time Series Analysis.

Interview Process: We've hired from HackerNews successfully before. Phone call first, remote coding session, then if all goes well, we'll bring you on-site for interviews and to meet the team.
Positions We Need:
   -Front-end Developer:  Someone who is strong in Angular/TypeScript and can potentially lead a front-end team

   -Back-end Developer: Excellent at .NET Core and API development.  SQL.  Azure.  Writing highly optimized code for large data sets.  Preferably with a C.S. background.  Bonus points if you can also do Angular.  More bonus points if you have experience with Azure IoT Suite.

   -Senior Python Engineer:  Keras, TensorFlow, Linux, APIs, Flask.  Anomaly Detection and Time Series classification.  Deep Learning experience.  Creativity and problem solving required.  Cloud experienced and ready to jump on projects that can directly impact our bottom line.

Interested?:
Email ADSDeveloperJobs .a.t. idexcorp.com or check us out at idexcorp.com/careers.  Sorry, no sponsorship available.  Every submission reviewed by a human.