Deep Learning Enginner Jobs in Gurgaon - FlixStock

Walk Learning data visualization methodologies and understanding data augmentation techniques. Learn the art of training and debugging a neural network is one of the core competencies we expect from you. 

Jog We start with implementing existing research papers and prototypes, fine-tuning existing neural networks for our use cases.

 Also extending our in-house networks to multiple use cases and categories.

Sprint Designing new neural architectures, improvise and improve on existing neural networks to beat state of the art. Deploying these neural nets to production at scale.

Responsibilities Designing, developing, and deploying deep learning systems Analyzing deep learning architectures and defining architecture strategy Deploying models to production Managing available resources such as hardware & data Exploring and visualizing data Running ML/DL tests and experiments Defining validation strategies Defining relevant metrics Defining data augmentation pipelines Defining preprocessing strategies Implementing appropriate DL algorithms Training models and tuning their hyperparameters Analyzing the errors of the model Debugging neural networks Studying and reproducing DL prototypes/research papers Keeping abreast of developments in the field .

Requirements Working knowledge of Deep Learning Architectures/Convolutional Neural Networks Working knowledge of Supervised Learning, Adversarial Learning Working knowledge of Image Processing and Computer Vision algorithms Excellent Python Coding Skills Familiarity with deep learning frameworks (like Tensorflow or PyTorch) Familiarity with GPU/CUDA programming Deep knowledge of math, probability, statistics and algorithms Understanding of data structures, data modeling, and software architecture Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills.