Company:
Dice
Location: Irvine
Closing Date: 24/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
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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