Senior Applied Data Scientist - Computer Vision & Generative AI
 Spectraforce Technologies | |
 United States, California, Irvine | |
 Feb 24, 2025 | |
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Title: Senior Applied Data Scientist - Computer Vision & Generative AI
Location: Irvine CA Duration: 12 Months Job Description: 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 (Required Skills) * 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. | |