Senior Data Scientist

June 5

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Complexio

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Description

• 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

Requirements

• 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.

Benefits

• Join a pioneering joint venture at the intersection of AI and industry transformation. • Work with a diverse and collaborative team of experts from various disciplines. • Opportunity for professional growth and continuous learning in a dynamic field.