Reinforcement Learning/Deep Learning Engineer
Budget: $3,000 – $5,000 USD
Description:
- Demonstrable mathematical understanding of machine learning, deep learning, and reinforcement learning fundamentals;
- Strong Python skills whilst working with TensorFlow and Keras;
- Hands-on experience in implementing Reinforcement Learning;
- Experience with developing functioning Deep Q Learning systems;
- Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions.
Ways to stand out from the crowd:
- Experience with Bayesian Networks;
- Familiarity with PyTorch or Caffe;
- Knowledge of optimization algorithms
- Demonstrable mathematical understanding of machine learning, deep learning, and reinforcement learning fundamentals;
- Strong Python skills whilst working with TensorFlow and Keras;
- Hands-on experience in implementing Reinforcement Learning;
- Experience with developing functioning Deep Q Learning systems;
- Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions.
Ways to stand out from the crowd:
- Experience with Bayesian Networks;
- Familiarity with PyTorch or Caffe;
- Knowledge of optimization algorithms
Related categories:
Python
Matlab and Mathematica
Machine Learning (ML)
Data Mining
R Programming Language