• Location: USA, Massachusetts, Boston
  • Salary: Up to US$170000 per annum
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 10th Jun, 2019
  • Reference: JF/061019CC_1560204339
Deep Learning Engineer - Boston, MA - $150-170K

My client is an AWS Advanced Technology Partner located in Downtown Boston. They're looking to build out their Deep Learning capabilities for text, images, video, audio, and tabular data. Ideally, you should have a background in software development, but have shifted into the machine learning space. From a technical perspective, you should have experience with Keras modeling, coding in Python and utilizing the PyData stack. If you are interested in learning more about this position, please read the requirements below and apply!

Deep Learning Engineer - Boston, MA - $150-170K


* Extensive experience coding in Python in a production environment
* Experience with Deep learning tools - Keras, TensorFlow and PyTorch
* Hands on experience with the PyData stack - NumPy, Pandas, Scikit-learn
* Software engineering/development experience
* Experience designing and developing Machine Learning models
* Experience working in a cloud environment (preferably AWS) is a plus!


* Joining a fun, hard-working and collaborative team
* 401K & company match
* Competitive base salary and equity
* Great work life balance
* Free snacks & lunches
* Beer on tap!
* Company outings
* Fully paid benefits

If you are interested in this position, please call me (Casey Carton) at 212-731-8282 or simply send me your resume to my email address - c.carton@jeffersonfrank.com. Act fast, as this opportunity will most likely be off the market in the near future.

I understand the need for discretion and would welcome the opportunity to speak to any AWS Big Data candidates that are considering a new career or job either now or in the future. Confidentiality is of the utmost importance. For more information, I can be contacted at 212-731-8282. Please see www.jeffersonfrank.com for more information.

AWS / Big Data / IoT / Hadoop / Hive / Pig / Spark / R / Scala / Pyspark / Azure / GCP / HD Insight / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / Boston / United States

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