Dice
Data Scientist III (computer vision, CNN, SSM, Generative AI for images, extra L
Dice, Irvine, California, United States, 92713
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Tellus Solutions, is seeking the following. Apply via Dice today!
Job Description:
Responsibilities:This role requires a blend of research and practical application, with a focus on optimizing computer vision models for speed and creativity and exploring current and emerging models in AI.You'll provide models for creative ideation pipelines and to help build best-in-class tools for the world's top aesthetic program.Lead projects involving Computer vision models, supervised, unsupervised e.g. Generative AI for images.Innovate and contribute to the ideation of new models and applications.Optimize existing CV and LLM frameworks for enhanced performance and speed.Develop advanced ensemble models using fine tuning and prompt engineering to improve performance and reliability.Take a creative and strategic approach to solve hard problems.Continuously research and stay up-to-date with recent advancements in computer vision models, applying Client techniques and methodologies to improve our models.Collaborate with cross-functional teams to integrate AI solutions into our products.Mentor junior team members and contribute to a culture of continuous learning.Qualifications:
Minimum Requirements:We are seeking an exceptional Senior Data Scientist with an MSc or PhD in Data Science, Machine Learning, or a related field and a minimum of 7 years of industry experience.Strong expertise in computer vision, CNN, SSM, Generative AI for images, extra LLM experience.Proven track record of innovative thinking and problem-solving in AI.Expert proficiency in Python and familiarity with Postgres databases.Comfortable working in a Linux environment.Familiar with Cloud Services including AWS.Exceptional analytical and quantitative problem-solving skills.Excellent oral and written communication skills and teamwork abilities.Highly curious and up-to-date with the latest AI technologies and trends.Extensive hands-on experience in training, fine-tuning, and optimizing machine learning models, particularly in the context of LLMs and Generative AI.Demonstrated ability to verify and evaluate model performance, ensuring accuracy, efficiency, and robustness.
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Job Description:
Responsibilities:This role requires a blend of research and practical application, with a focus on optimizing computer vision models for speed and creativity and exploring current and emerging models in AI.You'll provide models for creative ideation pipelines and to help build best-in-class tools for the world's top aesthetic program.Lead projects involving Computer vision models, supervised, unsupervised e.g. Generative AI for images.Innovate and contribute to the ideation of new models and applications.Optimize existing CV and LLM frameworks for enhanced performance and speed.Develop advanced ensemble models using fine tuning and prompt engineering to improve performance and reliability.Take a creative and strategic approach to solve hard problems.Continuously research and stay up-to-date with recent advancements in computer vision models, applying Client techniques and methodologies to improve our models.Collaborate with cross-functional teams to integrate AI solutions into our products.Mentor junior team members and contribute to a culture of continuous learning.Qualifications:
Minimum Requirements:We are seeking an exceptional Senior Data Scientist with an MSc or PhD in Data Science, Machine Learning, or a related field and a minimum of 7 years of industry experience.Strong expertise in computer vision, CNN, SSM, Generative AI for images, extra LLM experience.Proven track record of innovative thinking and problem-solving in AI.Expert proficiency in Python and familiarity with Postgres databases.Comfortable working in a Linux environment.Familiar with Cloud Services including AWS.Exceptional analytical and quantitative problem-solving skills.Excellent oral and written communication skills and teamwork abilities.Highly curious and up-to-date with the latest AI technologies and trends.Extensive hands-on experience in training, fine-tuning, and optimizing machine learning models, particularly in the context of LLMs and Generative AI.Demonstrated ability to verify and evaluate model performance, ensuring accuracy, efficiency, and robustness.
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