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Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
United Arab Emirates

Offer summary

Qualifications:

Bachelor's/Master's degree in Engineering or Computer Science, 2+ years of experience as a Python-focused Engineer, 1+ year of experience with ML frameworks, Proficiency in TensorFlow and/or PyTorch, Strong knowledge of Scikit-learn.

Key responsabilities:

  • Develop, train, and deploy machine learning models
  • Implement models and preprocessing using Scikit-learn
  • Apply supervised and unsupervised algorithms to complex problems
  • Design deep learning architectures like CNNs and RNNs
  • Explore reinforcement learning techniques for AI solutions

Yo Hr Consultancy logo
Yo Hr Consultancy SME https://www.yohrconsultancy.com/
11 - 50 Employees
See all jobs

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Hard Skills

Pandas (Python Package)Machine LearningPyTorch (Machine Learning Library)Reinforcement LearningDeep LearningLarge Language ModelingSupervised LearningData ScienceUnsupervised LearningKeras (Neural Network Library)Data PreprocessingPython (Programming Language)Scikit-Learn (Python Package)TensorFlowNumPy (Python Package)Data Manipulation

Other Skills

  • Verbal Communication Skills
Are you interested?

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