| Senior Data Scientist in San Jose, CA and Waukesha, WI (100% Oniste) at Waukesha, Wisconsin, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2340783&uid= From: Bramar Mahamkali, People Force Consulting Inc [email protected] Reply to: [email protected] Hello, I have the below opportunity with our client. Let me know if you have a suitable consultant. As a Senior Data Scientist with expertise in Vision-Language Models (VLMs) and related technologies to lead the development of efficient, cost-effective multimodal AI solutions. The ideal candidate will have experience with advanced VLM frameworks such as VILA, Isaac, and VSS, and a proven track record of implementing production-grade VLMs for training and testing in real-world environments. A background in healthcare, particularly medical devices, is highly desirable. This role will focus on exploring and deploying state-of-the-art VLM methodologies on cloud platforms like AWS or Azure. Experience: - 10+ Years Location: - San Jose, CA, Waukesha, WI (100%onsite needed) Educational Qualifications: - Education: Masters or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. Responsibilities: 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. Implement scalable pipelines for training/testing VLMs on cloud platforms (AWS SageMaker, Azure ML). 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. Collaboration & Leadership: Collaborate with cross-functional teams including engineers and domain experts to define project requirements. Mentor junior team members and provide technical leadership on complex projects. Mandatory skills Experience: Minimum of 10+ years of experience in machine learning or data science roles with a focus on vision-language models. Proven expertise in deploying production-grade multimodal AI solutions. Experience in healthcare or medical devices is highly preferred. Technical Skills: Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with VLMs such as VILA, Isaac Sim, or VSS. Familiarity with cloud platforms like AWS SageMaker or Azure ML Studio for scalable AI deployment. Domain Knowledge: Understanding of medical datasets (e.g., imaging data) and healthcare regulations. Soft Skills: Strong problem-solving skills with the ability to optimize models for real-world constraints. Excellent communication skills to explain technical concepts to diverse stakeholders. Good to have skills: Vision-Language Models: VILA, Isaac Sim, EfficientVLM. Cloud Platforms: AWS SageMaker, Azure ML. Optimization Techniques: LoRA fine-tuning, modal-adaptive pruning. Multimodal Techniques: Cross-attention layers, interleaved image-text datasets. MLOps Tools: Docker, MLflow. Keywords: artificial intelligence machine learning California Wisconsin Senior Data Scientist in San Jose, CA and Waukesha, WI (100% Oniste) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2340783&uid= |
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| 09:32 PM 14-Apr-25 |