
Deep Learning Scientist
2 weeks ago
At DeepIQ, we are building the world's best Data + AI Ops platform for multi-modal data. Our platform helps some of the world's 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
1-3 years 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, India office (Hyderabad)
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