AI Research Engineer
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Job Summary
Research and develop new AI and Machine Learning algorithms and models.
Design train test and optimize machine learning and deep learning models.
Explore advanced AI technologies including Generative AI and Large Language Models (LLMs).
Perform data collection preprocessing cleaning and feature engineering.
Conduct experiments to evaluate model performance and accuracy.
Implement research papers and convert theoretical concepts into practical solutions.
Work with NLP Computer Vision and Deep Learning techniques.
Optimize algorithms for performance scalability and efficiency.
Collaborate with engineering and research teams to develop AI-based solutions.
Document research findings experiments and technical results.
Stay updated with the latest developments in AI ML and emerging technologies.
Strong programming knowledge in Python.
Understanding of Machine Learning algorithms and concepts.
Knowledge of Deep Learning and Neural Networks.
Experience with libraries such as NumPy Pandas Scikit-learn.
Knowledge of TensorFlow or PyTorch.
Understanding of Statistics Linear Algebra Probability and Calculus.
Knowledge of Data Preprocessing and Feature Engineering.
Understanding of model training evaluation and optimization.
Familiarity with NLP and Computer Vision concepts.
Strong analytical mathematical and problem-solving skills.
Required Skills:
Strong programming knowledge in Python. Understanding of Machine Learning algorithms and concepts. Knowledge of Deep Learning and Neural Networks. Experience with libraries such as NumPy Pandas Scikit-learn. Knowledge of TensorFlow or PyTorch. Understanding of Statistics Linear Algebra Probability and Calculus. Knowledge of Data Preprocessing and Feature Engineering. Understanding of model training evaluation and optimization. Familiarity with NLP and Computer Vision concepts. Strong analytical mathematical and problem-solving skills.
Required Education:
Any
