
Chief AI Architect
4 days ago
Job Summary: We are seeking a seasoned professional to lead the development and implementation of advanced generative AI models. As a key member of our team, you will be responsible for designing and deploying AI solutions that address business challenges.
Our ideal candidate has a strong background in computer science and experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). You should also have excellent problem-solving skills, the ability to work independently and as part of a team, and strong communication skills.
Key Responsibilities:
- Develop, refine, and implement advanced generative AI models to generate insights from complex structured and unstructured data sets.
- Collaborate with cross-functional teams to design and deploy generative AI solutions that address business challenges.
- Fine-tune and build large language models (LLMs) and other generative AI models.
- Lead the integration of generative AI into business processes, ensuring seamless adoption and implementation.
- Conduct research to stay current with the latest advancements in generative AI and machine learning.
- Present findings and strategic recommendations to stakeholders, translating complex technical concepts into actionable insights.
- Develop white papers, blogs, and presentations to share knowledge and best practices within the organization and with clients.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Proven experience as a Data Scientist with a focus on generative AI and large language models.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
- Strong understanding of natural language processing (NLP) and deep learning techniques.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills, with the ability to present complex information to non-technical stakeholders.
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