Last Updated on June 26, 2023 by GeeksGod
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Machine Learning Job: Off Campus Drive 2023: All Company names, logos, and brands are the Intellectual Property of their respective owners. All company, product, and service names used on this website are for identification purposes only.
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Eligibility Criteria for Machine Learning Job
- Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, Mathematics, or a related field, with a strong focus on machine learning, computer vision, or artificial intelligence.
- Extensive experience in developing and deploying machine learning models for Generative AI and Computer Vision applications.
- Proficiency in Python programming language and solid familiarity with frameworks and libraries such as TensorFlow, PyTorch, Keras, and OpenCV.
- Deep understanding of deep learning architectures and generative models, including GANs, VAEs, and their variants.
- Strong knowledge of computer vision techniques, including object detection, segmentation, tracking, and image synthesis.
- Proven experience in large-scale data processing, preprocessing, and feature engineering, with an emphasis on handling diverse and unstructured visual data.
- Strong analytical and problem-solving skills, with the ability to explore and experiment with innovative solutions for complex generative AI and computer vision challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Solid understanding of software engineering best practices, version control systems (e.g., Git), and agile development methodologies.
- Demonstrated research experience, publications, or contributions to the machine learning community are highly desirable.
| Job Title | Machine Learning Job in Zocket | Entry Level Job 2023 |
|---|---|
| Description | Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, Mathematics, or a related field, with a strong focus on machine learning, computer vision, or artificial intelligence. Extensive experience in developing and deploying machine learning models for Generative AI and Computer Vision applications. Proficiency in Python programming language and solid familiarity with frameworks and libraries such as TensorFlow, PyTorch, Keras, and OpenCV. Deep understanding of deep learning architectures and generative models, including GANs, VAEs, and their variants. Strong knowledge of computer vision techniques, including object detection, segmentation, tracking, and image synthesis. Proven experience in large-scale data processing, preprocessing, and feature engineering, with an emphasis on handling diverse and unstructured visual data. Strong analytical and problem-solving skills, with the ability to explore and experiment with innovative solutions for complex generative AI and computer vision challenges. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Solid understanding of software engineering best practices, version control systems (e.g., Git), and agile development methodologies. Demonstrated research experience, publications, or contributions to the machine learning community are highly desirable. |
| Estimated salary | Per hour – |
| Work Location | Postal code : Chennai |
| Employment Type | FULL TIME |
What helps you in getting selected?
- Resume Creation Website: Click Here
- A resume or CV is the first thing that will reach your recruiter/employer.
- Your resume should not exceed more than a page.
- Your resume should mention your skills and projects (most important)
- Never send resume in docx file. Always send your resume in pdf file format.
- Your resume should have a clear focus on the job position that you are looking forward to.
- Prepare for your exams through test series and learning material. (Edusera Recommended)
- Improve your communication skills.
- Maintain your Linkedin Profile (Highly recommended)
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Important
- All Company names, logos, and brands are the Intellectual Property of their respective owners. All company, product, and service names used in this website are for identification purposes only.
- We are not associated with any company/agency/agent whose jobs posted on geeksgod.com, We are just an information provider for job openings. Read our Disclaimer Policy and Term of Service for more information
