AI and Machine Learning Systems Engineer

2 days ago


Jaipur, Rajasthan, India Celebal Technologies Full time
Job Overview
Celebal Technologies is a dynamic and forward-thinking company seeking a highly skilled AI and Machine Learning Systems Engineer to join our team. As an expert in machine learning, you will play a key role in developing cutting-edge AI-based systems, ensuring seamless user experiences.

Key Responsibilities:
• Design and develop machine learning models to address complex business challenges using regression, decision trees, SVMs, random forests, gradient boosting, clustering, and dimensionality reduction techniques.
• Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance.
• Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5.
• Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models.
• Fine-tune models through hyperparameter optimization to improve performance metrics.

Qualifications:
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Data Science, or any related field.
• Extensive experience in both classical machine learning techniques and deep learning systems, frameworks such as TensorFlow, PyTorch, or Keras.
• Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5.
• Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries.
• Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning.

About Us
Celebal Technologies is a forward-thinking company committed to delivering innovative solutions using AI and Machine Learning. We offer a collaborative work environment, opportunities for growth, and competitive benefits.

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