Senior AI Engineer, Generative Models

Full Description

Be at the forefront of innovation with this fully remote opportunity as a Senior AI Engineer specializing in Generative Models.

Our client is a trailblazer in AI & Emerging Technologies, seeking a passionate and experienced engineer to drive the development of next-generation AI systems.

You will be responsible for designing, implementing, and deploying advanced generative models, including LLMs, diffusion models, and GANs, to solve complex problems and create novel applications.

This role requires a deep understanding of AI principles, a strong software engineering background, and a creative mindset.

Your responsibilities will include researching and integrating state-of-the-art techniques in generative AI, building robust and scalable AI pipelines, and optimizing model performance for efficiency and accuracy.

You will collaborate closely with product managers, researchers, and other engineers to translate conceptual ideas into tangible AI solutions.

A key aspect of this role involves experimenting with new architectures, training methodologies, and fine-tuning strategies to achieve state-of-the-art results.

You will also contribute to the ethical considerations and responsible deployment of AI technologies.

This position offers an unparalleled chance to shape the future of AI, work with a talented global team, and contribute to projects with significant real-world impact.

Continuous learning and exploration of new research papers and tools are essential.

Key Responsibilities:

Develop, train, and deploy advanced generative AI models (LLMs, GANs, VAEs, Diffusion Models).

Design and implement scalable AI pipelines and infrastructure.

Conduct research on new AI architectures and techniques.

Optimize model performance, efficiency, and deployment strategies.

Collaborate with cross-functional teams to define product requirements and AI solutions.

Ensure the responsible and ethical development of AI technologies.

Stay current with the latest advancements in AI and machine learning research. Write high-quality, maintainable code and comprehensive documentation.

Qualifications:

Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field. 3+ years of hands-on experience in developing and deploying generative AI models. Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).

Strong understanding of machine learning algorithms, neural networks, and model evaluation.

Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.

Excellent problem-solving, analytical, and communication skills.

Demonstrated ability to work effectively in a remote, collaborative environment.