Forwarded from GDG Addis
#InfraTech paid internship
Job Title: Machine Learning Intern - Automatic License Plate Recognition (ALPR) Model Training
Job Denoscription:
We are seeking a highly motivated Machine Learning Intern to join our team and assist in training a model for Automatic License Plate Recognition (ALPR) service. This internship offers an exciting opportunity to work on cutting-edge technology in the field of computer vision and machine learning while gaining hands-on experience in model development, deployment, and mobile inferencing.
Major Tasks:
1. Data Collection and Preprocessing: Assist in gathering and preprocessing a diverse dataset of license plate images, ensuring data quality and consistency.
2. Model Development: Collaborate with the team to develop and fine-tune machine learning models for ALPR using state-of-the-art algorithms and techniques.
3. Training and Evaluation: Implement training pipelines and conduct experiments to train the model on the collected dataset, evaluating performance using appropriate metrics.
4. Hyperparameter Tuning: Explore various hyperparameters and optimization strategies to enhance model accuracy and robustness.
5. Model Deployment: Work towards deploying the trained model into a production environment, ensuring compatibility and efficiency. Additionally, optimize the model for deployment on mobile devices to enable real-time inferencing.
6. Mobile Inferencing: Develop and implement efficient inferencing strategies to enable the ALPR model to run effectively on mobile devices, considering constraints such as computational resources and power consumption.
7. Documentation: Maintain detailed documentation of the model development process, including methodologies, findings, and best practices, with specific focus on mobile deployment and inferencing.
Experiences Required:
1. Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field with a focus on machine learning, computer vision, or artificial intelligence.
2. Programming Skills: Proficiency in Python programming language and experience with popular machine learning libraries such as TensorFlow or PyTorch.
3. Machine Learning Fundamentals: Understanding of machine learning concepts including supervised learning, neural networks, and convolutional neural networks (CNNs).
4. Data Handling: Familiarity with data manipulation and preprocessing techniques using libraries like NumPy, pandas, and OpenCV.
5. Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to experiment, iterate, and adapt to challenges in a fast-paced environment.
6. Teamwork and Communication: Excellent communication skills and the ability to work collaboratively in a team setting, sharing ideas and contributing to discussions effectively.
7. Initiative and Eagerness to Learn: Proactive attitude towards learning new technologies and methodologies, with a keen interest in advancing skills and knowledge in machine learning and computer vision.
Quantity required: 1
Deadline: March 31, 2024
Please send us your resume at admin@infratech.technology
Job Title: Machine Learning Intern - Automatic License Plate Recognition (ALPR) Model Training
Job Denoscription:
We are seeking a highly motivated Machine Learning Intern to join our team and assist in training a model for Automatic License Plate Recognition (ALPR) service. This internship offers an exciting opportunity to work on cutting-edge technology in the field of computer vision and machine learning while gaining hands-on experience in model development, deployment, and mobile inferencing.
Major Tasks:
1. Data Collection and Preprocessing: Assist in gathering and preprocessing a diverse dataset of license plate images, ensuring data quality and consistency.
2. Model Development: Collaborate with the team to develop and fine-tune machine learning models for ALPR using state-of-the-art algorithms and techniques.
3. Training and Evaluation: Implement training pipelines and conduct experiments to train the model on the collected dataset, evaluating performance using appropriate metrics.
4. Hyperparameter Tuning: Explore various hyperparameters and optimization strategies to enhance model accuracy and robustness.
5. Model Deployment: Work towards deploying the trained model into a production environment, ensuring compatibility and efficiency. Additionally, optimize the model for deployment on mobile devices to enable real-time inferencing.
6. Mobile Inferencing: Develop and implement efficient inferencing strategies to enable the ALPR model to run effectively on mobile devices, considering constraints such as computational resources and power consumption.
7. Documentation: Maintain detailed documentation of the model development process, including methodologies, findings, and best practices, with specific focus on mobile deployment and inferencing.
Experiences Required:
1. Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field with a focus on machine learning, computer vision, or artificial intelligence.
2. Programming Skills: Proficiency in Python programming language and experience with popular machine learning libraries such as TensorFlow or PyTorch.
3. Machine Learning Fundamentals: Understanding of machine learning concepts including supervised learning, neural networks, and convolutional neural networks (CNNs).
4. Data Handling: Familiarity with data manipulation and preprocessing techniques using libraries like NumPy, pandas, and OpenCV.
5. Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to experiment, iterate, and adapt to challenges in a fast-paced environment.
6. Teamwork and Communication: Excellent communication skills and the ability to work collaboratively in a team setting, sharing ideas and contributing to discussions effectively.
7. Initiative and Eagerness to Learn: Proactive attitude towards learning new technologies and methodologies, with a keen interest in advancing skills and knowledge in machine learning and computer vision.
Quantity required: 1
Deadline: March 31, 2024
Please send us your resume at admin@infratech.technology
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4TH SWE CBE Account.xlsx
18.1 KB
Dear all, kindly verify that your CBE Account Number is solely registered under your own name. We strictly prohibit the use of account numbers associated with family members or friends. If you encounter any discrepancies with your account number, please come to the SoEEC Registrar office for assistance. Thank you for your cooperation.
Forwarded from ASTU ተማሪ📚
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Forwarded from Codenight Info
Set Your Calendar To APRIL 14🗓
Are you up for the journey beyond the virtual connection? It is hard to imagine a life beyond the community with more than 6000+ active members who chat day and night on Telegram and meet with each other every Sunday on the Voice Chat.
Dev Meetup V2- an event about transformation! Powered by CodeNight Collaborate with ALX and SAND Technology's, Chapa, Zare Innovation, Addis Software , Gebeta maps.
Just imagine:
📌Revisiting the event you missed last year with even more enthusiasm and excitement!
📌Facing those developers you've been chatting with for a long time and discovering the faces behind the voices!
📌Engaging in funny challenges: wonder who they are find out their usernames and meet them in real life!
📌Plunging into vibrant networking hackathons and engaging panel discussion —all in one!
Join us as we bridge the gap between virtual and reality on April 14, all day long.
It's time to turn those digital connections into real friendships!
Our Space is Limited, So Secure your spot NOW
Register Here
Are you up for the journey beyond the virtual connection? It is hard to imagine a life beyond the community with more than 6000+ active members who chat day and night on Telegram and meet with each other every Sunday on the Voice Chat.
Dev Meetup V2- an event about transformation! Powered by CodeNight Collaborate with ALX and SAND Technology's, Chapa, Zare Innovation, Addis Software , Gebeta maps.
Just imagine:
📌Revisiting the event you missed last year with even more enthusiasm and excitement!
📌Facing those developers you've been chatting with for a long time and discovering the faces behind the voices!
📌Engaging in funny challenges: wonder who they are find out their usernames and meet them in real life!
📌Plunging into vibrant networking hackathons and engaging panel discussion —all in one!
Join us as we bridge the gap between virtual and reality on April 14, all day long.
It's time to turn those digital connections into real friendships!
Our Space is Limited, So Secure your spot NOW
Register Here
👍1👎1
CSE and SWE Department - 4th-SE.pdf
85.4 KB
Those whose account is not correct should physically present and report to school Registrar until Friday at 6:00 LT only.