Introduction: Join our innovative research team dedicated to advancing predictive analytics using deep learning technologies.
We are seeking a skilled Python Programmer with a strong background in deep learning frameworks such as TensorFlow or PyTorch to develop a sophisticated time series prediction model. This project involves analyzing large-scale data to forecast trends and provide actionable insights.
Responsibilities:
Data Handling: Manage extensive datasets, ensuring the integrity and accuracy of data used in analysis.
Model Development: Design and implement predictive models using deep learning techniques, specifically for time series data.
Performance Optimization: Optimize existing algorithms for better efficiency and accuracy.
Collaboration: Work closely with data scientists and other stakeholders to translate requirements into robust analytics solutions.
Documentation: Maintain comprehensive documentation of code, methodologies, and processes.
Presentation: Prepare and present findings in a clear and concise manner to nontechnical stakeholders.
Requirements:
Education: Bachelor s or Master s degree in Industrial Engineering(Preferred) Computer Science, Data Science, Statistics, or a related field
Experience: Minimum of 1-2 years of experience in Python programming with a strong focus on deep learning applications.
Technical Skills:
Proficiency in TensorFlow, PyTorch, or similar deep learning frameworks.
Experience with time series analysis. o Strong understanding of machine learning algorithms and principles.
Ability to write efficient, clean, and reusable code.
Analytical Skills: Strong problem-solving skills with a knack for data analysis, interpretation, and visualization.
Communication: Excellent verbal and written communication skills