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AI Engineering Lead
2 weeks ago
We seek an experienced Senior Generative AI Engineer to spearhead the development of cutting-edge generative AI models. The ideal candidate will have a strong background in computer science, machine learning, and artificial intelligence.
Responsibilities:
- Design and develop novel generative AI models using techniques such as RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained large language models for specific tasks and domains.
- Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply software engineering rigor and best practices to generative AI pipelines.
- Evaluate and analyze the performance of generative AI models.
- Stay up-to-date on the latest advancements in generative AI research.
- Facilitate the development and deployment of proof-of-concept generative AI systems.
Qualifications:
- Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 5+ years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying generative AI models in production, and monitoring and maintaining their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker, and a good understanding of Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS generative AI services.
- Exposure to generative AI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous towards work and planning.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.