Machine Learning Developer
3 weeks ago
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.
Requirements :
- Bachelor's/Master's degree in 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
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