Deep Learning Engineer

Associate / Junior

|

Hybrid

Meytier Premier Employer

Working there

About This Workplace

Meytier Partner

Key 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 the pre-processing 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


© 2024 Meytier - All Rights Reserved.
   Privacy Policy    Terms Of Use