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
Responsibilities
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
Qualifications
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
