Deep Learning Scientist (Houston)

At DeepIQ, we are building the worlds best {Data + AI} Ops platform for multi-modal data. Our platform helps some of the worlds largest enterprises generate insights from their telemetric (OT), geospatial and structured data. Our team includes leading experts in cloud and machine learning technologies with deep expertise in commercializing novel software and scaling high-growth companies. If you are passionate about deep learning and AI and enjoy writing production quality software, then we have the right job for you! We are committed to providing you an ideal work-life balance and a great place to do high quality work, learn new skills and grow in your career.

Job Responsibilities

You will research, design and prototype applications using advanced deep learning and other AI algorithms

You will develop state-of-the-art algorithms using deep learning, object detection / classification, 3D point cloud analytics, large-scale distributed training, multi-model fusion, etc.

You will optimize deep neural networks and the associated preprocessing / postprocessing code to run efficiently

You will use your strong programming skills to productionize robust data workflows

You use machine learning techniques to develop predictive models for analyzing highly noisy 2D (images / pixels) and 3D (voxels) datasets

You will develop models that scale to big data leveraging technologies such as Spark

You will work with data engineers to cleanse, integrate and model data

You will transfer the developed models to our software platform and help in model calibration

Required Qualifications

Bachelors or MS in Computer Science / Statistics / related disciplines with specialization

3 - 5years of industry experience in data science and software engineering

Knowledge of both supervised and unsupervised machine learning techniques

Background in NLP or text mining techniques is a plus

Proficiency in Keras (Tensorflow) or PyTorch

Experience with deep neural networks (CNN or other deep networks)

Proficiency in Python and associated machine learning packages is a must

Experience in PySpark or other Spark frameworks is a significant plus

Experience in Hadoop ecosystem including Hive, Pig and Sqoop is a nice to have

Experience in at least one other programming language like Java

Experience with UNIX / Linus Operating system and Shell Programming

Excellent communication and problem-solving skills

Experience working in an agile and team oriented work environment

Experience with version control (Git, Mercurial)

Job Location

Hybrid, US office (DeepIQ USA)