Overview
On Site
$TBD
Full Time
Skills
AI/ML
Python
scala
PyTorch
PLC
tensor flow
HMI
Job Details
we are hiring Internship Engineer for our Cyber Security project. we are looking for industrial engineer graduates who are strong in python programming. This is going to be Unpaid intership and whomever performing well they will hired as fulltime employee with onsite opportunies.
Job Title: Cyber Security Research Intern
Loction: Chennai
Duration : 3 to 6 months
Job Title: Python Programmer (Deep Learning Specialist)
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 non technical 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