New

Data Scientist III

Spectraforce Technologies
United States, California, Irvine
Jul 03, 2025
Job Title: Senior Applied Data Scientist - Computer Vision & Generative AI Location: Irvine CA, hybrid might be considered Length of Contract: 1 year About the Role: We are seeking an exceptional Senior Applied Data Scientist specializing in computer vision and image-based data to drive innovation within our pharmaceutical R&D division. You will be at the forefront of developing, fine-tuning, and optimizing advanced Computer Vision (CV), Convolutional Neural Networks (CNNs), and Generative AI models to enhance clinical and aesthetic programs. This role is a balance of research and practical application, working with emerging AI technologies to create cutting-edge solutions for image analysis in healthcare and life sciences. What You'll Do: Lead and innovate AI-driven projects involving Computer Vision, Generative AI for images, and Large Language Models (LLMs). Develop and fine-tune CNNs, SSM, and other deep learning models to enhance image processing in pharmaceutical applications. Research and implement state-of-the-art AI techniques to optimize model accuracy, speed, and robustness. Optimize LLM and CV frameworks for efficiency and scalability. Develop advanced ensemble models using fine-tuning and prompt engineering techniques. Collaborate with cross-functional teams to integrate AI-driven solutions into existing workflows. Stay updated with emerging AI trends and apply new methodologies to advance company research. Mentor junior team members, fostering a culture of learning and innovation. Who You Are: MSc or PhD in Data Science, Machine Learning, AI, or a related field. 7+ years of industry experience in machine learning, computer vision, or related areas. Strong expertise in Computer Vision, CNNs, SSM, and Generative AI for images. Expert proficiency in Python and familiarity with Postgres databases. Experience working in a Linux environment and with cloud platforms like AWS. Solid understanding of ML model evaluation, optimization, and deployment. Strong analytical and problem-solving skills with a passion for AI-driven solutions. Excellent communication and collaboration abilities. Demonstrated ability to innovate, solve complex problems, and contribute to AI advancements in pharma. Bonus Points For: Additional experience in LLMs and their applications in AI-driven pipelines. Prior work in healthcare, biotech, or pharmaceutical AI applications. Experience with multi-modal AI systems integrating text and image processing.