Desired Candidate Profile
Train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection.
Develop state-of-the-art algorithms in all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, etc.
Optimize deep neural networks and the associate pre-processing / post-processing code to run efficiently on an embedded device.
Identify valuable data sources and automate collection processes.
Set up and manage our AI development and production infrastructure like AWS-Sagemaker, Azure ML, GCP ML engines.
Helping AI product managers to understand the potential and limitations of AI when planning new products.
Build AI models from scratch and help end users to understand insights of the data.
Should be able to transform AI models into any API services.
Required Candidate profile
Qualification: Any Graduate / Masters with data science background.
Understand computer vision algorithms and approaches, with a focus on machine learning.
Demonstrate proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab.
Experience in building AI models in platforms such as Caffe, PyTorch, Keras, TensorFlow, or Theano.
Experience in programming like C++, Python with Opencv, CUDA and experience in the frameworks TensorFlow, Keras, Torch and caffe.
Basic knowledge of Big Data stack: Spark, Cassandra, Mongo-DB, Map-Reduce.
Experience of working on production-grade machine learning-based solutions would be a plus
Should be good at Math & Statistics and Broad understanding of Machine and Deep Learning techniques.Understand computer vision algorithms and approaches, with a focus on machine learning.
Demonstrate proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab.
Experience in building AI models in platforms such as Caffe, PyTorch, Keras, TensorFlow, or Theano.
Experience in programming like C++, Python with Opencv, CUDA and experience in the frameworks TensorFlow, Keras, Torch and caffe.
Basic knowledge of Big Data stack: Spark, Cassandra, Mongo-DB, Map-Reduce.
Experience of working on production-grade machine learning-based solutions would be a plus
Should be good at Math & Statistics and Broad understanding of Machine and Deep Learning techniques.
Education:
UG: Any Graduate - Any Specialization
PG: Any Postgraduate - Any Specialization
Doctorate: Doctorate Not Required
Contact Details:
Keyskills:
algorithms
python
C++
neural networks
Cassandra
machine learning
Spark