RapidBrains Hiring Drive 2024: RapidBrains Hiring Drive 2024 for its Data Scientist (Gen AI).RapidBrains Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.
Company Name: RapidBrains
Role: Data Scientist (Gen AI)
Location: Bengaluru
Experience: 6 months to 1 year
Qualification: Bachelor’s degree
Batch: Any
Job Type: Full Time
Salary: Best in Industry
RapidBrains Hiring Drive 2024
Job Description:
- As a Generative AI Engineer, you will play a pivotal role in designing, developing, and implementing advanced generative models, including GANs, VAEs, and other techniques.
- You will utilize OpenAI’s GPT-3 and other models for creative content generation and natural language processing, ensuring compliance with industry regulations and best practices.
- Additionally, you will leverage Azure cloud services for data storage, compute resources, and deploying machine learning models, while maintaining scalability and security standards.
Requirements:
- 6 months to 1 year of experience with generative AI technologies, such as GPT-3.
- Proficiency in Azure cloud services, including data storage, virtual machines, and machine learning services.
- Strong understanding of AI applications, OpenAI integrations, and Azure-based solutions.
- Solid programming skills in Core Java.
- Experience with deep learning techniques and NLP.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Responsibility:
- Design, develop, and implement generative models for various applications.
- Utilize OpenAI’s GPT-3 and other models for creative content generation and natural language processing.
- Harness Azure cloud services for data storage, compute resources, and deploying machine learning models.
- Create synthetic data, text, images, or other content using generative models for data augmentation and simulations.
- Oversee data cleaning, preprocessing, and manipulation to ensure data quality and compatibility with generative models.
- Train and fine-tune generative models, optimizing performance and addressing issues like mode collapse and convergence.
- Develop robust and efficient applications using Core Java.
- Apply advanced deep learning techniques and NLP for solving complex problems and generating content.
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