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🔍 AI and industrial sectors
- Master's or Ph.D. in Data Science, Computer Science, or a related field.
- Proven experience in developing and implementing generative AI models.
- Proficient in programming languages such as Python and JavaScript.
- Strong background in statistical analysis, machine learning, and data visualization.
- Excellent problem-solving skills and the ability to work in a collaborative, cross-functional environment.
- Demonstrated expertise in handling large datasets and extracting actionable insights.
- A proven track record working with open-source models, Llama, and AI/NLP across various domains.
- Mastery of NLP and related libraries.
- An understanding of business operations and a knack for crafting actionable business insights.
- Algorithm Development: Design and implement advanced algorithms for generative AI models that enhance human-machine interaction within the specified industries.
- Data Analysis: Conduct in-depth analysis of large datasets to derive meaningful insights, trends, and patterns relevant to the joint venture's goals.
- Model Training and Evaluation: Develop and train generative AI models, ensuring their effectiveness and reliability through rigorous evaluation processes.
- Collaboration: Collaborating with an elite team, learning and contributing to transitioning from conventional language models to cutting-edge Large Language Models (LLMs) and fine-tuning techniques such as LoRA and QLoRA.
- Innovation: Stay abreast of the latest advancements in AI and generative models (including open source), proposing and implementing innovative solutions to enhance the capabilities of our technology.
- Industry Expertise: Acquire a deep understanding of the shipping and industrialized industries to tailor generative AI solutions that address specific challenges and opportunities within these sectors.
PythonData AnalysisJavascriptMachine LearningBusiness OperationsAlgorithmsData scienceCollaboration
Posted 4 months ago
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