Machine Learning Engineer

yo hr consultancy • Saudi Arabia
Remote
This Job is No Longer Active This position is no longer accepting applications

Job Description

LLM - Python for Machine Learning

Experience: 2 - 15 Years

Location- Permanent Remote Anywhere in the world

Contract Duration: 6 Months

Opportunity- Full Time, 8 hours, 5 hours Mandatory overlap with PST

Total Years Of exp- 2+ years Mandatory

Mandatory Skills- Python: min 2 years, Python for Data Science: min 1 yr, Machine Learning: min 1 yr, PyTorch: min 1 yr, Keras: min 1 yr, Tensorflow: min 1 yr

Key skills: Python, ML, PyTorch, Keras, TensorFlow

Job Responsibilities

  • Develop, train, and deploy machine learning models using TensorFlow and/or PyTorch.
  • Implement machine learning models and preprocessing pipelines using Scikit-learn.
  • Apply supervised and unsupervised learning algorithms, including SVM, Decision Trees, Random Forest, and k-NN, to solve complex problems.
  • Design and implement deep learning architectures such as CNNs, RNNs, GANs, and transfer learning models.
  • Explore and apply reinforcement learning techniques to enhance AI solutions.

Job Requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, or a related field.
  • At least 2+ years of experience as a Python-focused Engineer.
  • 1+ years of experience with Python-based frameworks for machine learning.
  • Proficiency in TensorFlow and/or PyTorch for model development and deployment.
  • Strong knowledge of Scikit-learn for machine learning model implementation.
  • In-depth understanding of supervised and unsupervised learning algorithms, as well as deep learning architectures.

Nice To Have

  • Experience with Keras for quick prototyping of deep learning models.
  • Proficiency in Pandas and Numpy for data manipulation and preprocessing.
  • Familiarity with Large Language Models (LLMs) and their applications in AI.
  • Excellent spoken and written English communication skills.

Skills: ml,unsupervised learning,random forest,gans,transfer learning,cnns,learning,scikit-learn,reinforcement learning,decision trees,rnns,numpy,large language models (llms),keras,deep learning,python,supervised learning,algorithms,pandas,svm,pytorch,k-nn,tensorflow,data science,machine learning

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