We work on developing intelligent solutions to real world challenges. We are looking for innovative problem solvers. People who love solving problems and are looking to extend artificial intelligence into unexplored areas. We want Data Scientists who can be key contributors in a fast-paced dynamic product development environment for building artificial intelligence products and services. Your primary focus will be in applying deep learning and artificial intelligence techniques, and building high quality prediction and recommendation systems integrated with numerous APIs and big data backend. Responsibilities
Selecting features, building and optimizing classifiers and recommendation engines using deep learning techniques
Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.
Design solutions for complex business problems related by using NLP/Deep Learning/Object Detection/Image Segmentation/Object Tracking tasks.
Recommend and implement best practices around application of statistical modelling.
Create, train, test and deploy various neural networks to solve complex problems.
Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development.
Skills and Qualifications
Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.
Must have experience with Tensorflow or Py Torch framework in building, training, testing and deploying neural networks
Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, Open CV etc.
Good, applied statistical skills, such as distributions, statistical testing, regression, etc.
Knowledge of using query languages such as SQL will be a plus
Experience in Computer Vision will be an advantage.
Excellent verbal and written communication skills
Excellent analytical and problem-solving skills with good attitude and keen to adapt evolving technologies
Education: BE/B Tech Experience: 0-3 years Job Type: Full-time Schedule:
Monday to Friday
Work Location: In person Application Deadline: 20/09/2024
We regret to inform you that this job opportunity is no longer available