VLM Data Scientist GE Healthcare: Waukesha, WI (Onsite role)

Hello,

This is Swaroop from Radient.AI. I have reached you regarding the VLM Data Scientist GE Healthcare . The job description is mention below kindly have a look and let me knows your thoughts.

Role: VLM Data Scientist GE Healthcare

Contract: 7+ Months

Location: Waukesha, WI (Onsite role)

Required skills: Strong experience in VLM models with healthcare domain

• We are seeking a highly skilled and detail-oriented Vision-Language Models (VLM) Data Scientist/ Vision Data Analyst to join our team.
• The ideal candidate will have a strong background in computer vision, natural language processing, data analysis, and machine learning.
• This role involves developing and deploying multimodal AI solutions that integrate vision and language capabilities, analyzing visual data to extract meaningful insights, and collaborating with cross-functional teams to improve our products and services.
• VLM Development & Deployment: Design, train, and deploy efficient Vision-Language Models (e.g., VILA, Isaac Sim) for multimodal applications. Explore cost-effective methods such as knowledge distillation, modal-adaptive pruning, and LoRA fine-tuning to optimize training and inference.
• Multimodal AI Solutions: Develop solutions that integrate vision and language capabilities for applications like image-text matching, visual question answering (VQA), and document data extraction. Leverage interleaved image-text datasets and advanced techniques (e.g., cross-attention layers) to enhance model performance.
• Healthcare Domain Expertise: Apply VLMs to healthcare-specific use cases such as medical imaging analysis, position detection, motion detection, and measurements. Ensure compliance with healthcare standards while handling sensitive data.
• Efficiency Optimization: Evaluate trade-offs between model size, performance, and cost using techniques like elastic visual encoders or lightweight architectures. Benchmark different VLMs (e.g., GPT-4V, Claude 3.5) for accuracy, speed, and cost-effectiveness on specific tasks.
• Data Analysis: Analyze large sets of visual data to identify patterns, trends, and anomalies.
• Algorithm Development: Develop and implement computer vision algorithms to process and interpret visual data.
• Machine Learning: Apply machine learning techniques to improve the accuracy and efficiency of vision-based systems.
• Reporting : Create detailed reports and visualizations to communicate findings to both technical and non-technical audiences.
• Education: Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field.
• Experience : 5+ years of experience in machine learning or data science roles with a focus on vision-language models and computer vision. Proven expertise in deploying production-grade multimodal AI solutions.
• Technical Skills: Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with VLMs such as VILA, Isaac Sim, or VSS. Strong understanding of image processing techniques and tools.
• Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets.
• Communication: Strong written and verbal communication skills. Ability to present complex information clearly and concisely.
• Teamwork: Ability to work effectively in a collaborative team environment.
• Experience with cloud computing platforms such as AWS or Azure.
• Familiarity with data visualization tools like Tableau or Power BI.
• Knowledge of statistical analysis and data mining techniques.