AI Developer (Generative AI) 

Job Details

Category:

Accounting/Auditing

Career Level:

Entry Level

Experience:

Student

Required Qualification:

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Requires Traveling:

No

Salary:

Salary Not disclosed

Salary Type:

Per Month

Total Vacancies:

1

Skills

developerdesigncreative contentsolutionsdrivingusernatural language processingimageprojectalignmentbusinessresearchmachine learningdeep learningalgorithmsperformanceproducttechnicalmachinedocumentationcomputer sciencedata scienceartificial intelligenceprogramminglanguagessoliddataengineeringevaluationcommunication skillscloudplatformsgoogleazuremitigationsoftware developmentversion controldevelopmentfocus

Description

Summary 

• Develop and optimize generative AI models, including but not limited to natural language processing & image generation.
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
• Implement algorithms and architectures using frameworks such as TensorFlow, PyTorch, or similar.
• Conduct experiments to test and validate model performance, iterating based on findings.
• Work with product managers to translate business requirements into technical solutions.
• Stay updated with the latest advancements in generative AI and machine learning.
• Contribute to code reviews, documentation, and best practices for AI development.
• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

• Proficiency in programming languages such as Python.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, openAI).
• You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.
• Strong communication skills, both written and verbal.
• Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI models.
• Knowledge of ethical considerations in AI and bias mitigation strategies.
• Familiarity with software development practices, including version control (Git).