
Developing Expertise in Generative AI
20 hours ago
We are seeking an experienced Senior Machine Learning Engineer to join our team as a key contributor in developing and deploying cutting-edge AI solutions. The ideal candidate will have a strong background in designing and implementing generative models, fine-tuning pre-trained LLMs for specific tasks, and conducting research on new techniques to improve AI model performance and capabilities.
Key Responsibilities:
- Design and develop advanced AI models using various techniques like RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained large language models (LLMs) for specific tasks and domains.
- Conduct research on new techniques for enhancing the performance and capabilities of generative AI models.
- Apply software engineering best practices and rigor to AI/generative AI pipelines.
- Evaluate and analyze the performance of AI/generative AI models.
- Stay up-to-date with the latest advancements in generative AI research.
- Promote the development and deployment of proof-of-concept AI systems.
Required Skills and 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 AI/GenAI models in production, and monitoring 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 server management.
- Experience with cloud-based ecosystems, especially AWS AI services.
- Exposure to AI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous approach towards work and planning.
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