Generative AI Engineer
Description For Generative AI Engineer
We are seeking a talented Entry level Generative AI Engineer to join our team at Digitals AI Inc. In this remote role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative generative models and applications. You will collaborate with cross-functional teams to create solutions that enhance our products and drive business value.
Key responsibilities include designing and implementing generative models, conducting research to advance the state of the art in generative AI, collaborating with various teams to integrate AI features, analyzing large datasets, and staying up-to-date with the latest developments in AI research.
The ideal candidate should have a degree in Computer Science or related field, experience with generative models, proficiency in Python and deep learning frameworks, and familiarity with cloud platforms. We offer competitive compensation, health benefits, and professional development opportunities in a friendly work environment.
Join us to push the boundaries of generative AI and make a significant impact in this rapidly evolving field.
Responsibilities For Generative AI Engineer
- Design, implement, and optimize generative models (e.g., GANs, VAEs, transformers) for various applications
- Conduct research to advance the state of the art in generative AI and apply findings to practical problems
- Collaborate with data scientists, software engineers, and product managers to integrate generative AI features into existing products
- Analyze large datasets to extract insights and improve model performance
- Participate in code reviews, and provide mentorship to junior team members
- Stay up to date with the latest developments in AI research and technology
Requirements For Generative AI Engineer
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Proven experience in building and deploying generative models
- Proficiency in programming languages such as Python, at least 2 years of python experience including the framework and integrations, with experience in deep learning frameworks (e.g., TensorFlow, PyTorch)
- Strong understanding of machine learning algorithms, data structures, and software development principles
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) for model deployment and scalability
- Excellent problem-solving skills and ability to work collaboratively in a team environment
- Experience with natural language processing (NLP) and computer vision applications
- Knowledge of ethical considerations and best practices in AI
- Publications or contributions to open-source projects in the field of generative AI (implied)
Benefits For Generative AI Engineer
- Competitive salary and commission structure
- Health, dental, and vision insurance
- Professional development opportunities
- Friendly and dynamic work environment
