AI Analytics Engineer

Santa Clara, United States | Posted on 03/24/2025

YDTS Global is led by seasoned talent and business leaders with decades of experience. We combine industry insight with practical execution to build your workforce advantage. At YDTS, our mission is to empower organizations through people. Founded by industry veterans, we blend global insights with hands-on experience to deliver tailored talent solutions. Unlike a traditional staffing agency, we integrate deeply as a long-term partner — advising on organization design, skill gaps, and culture fit while managing the end-to-end hiring process.

Our leadership team has led GCC builds, scaled R&D centers, and placed hundreds of executives, and we bring that entrepreneurial and corporate DNA to every engagement. Our clients choose YDTS because we deliver more than candidates — we deliver solutions that transform organizations. We act as strategic advisors, aligning talent planning with business strategy, and as execution experts, deploying the right recruiting resources at the right time.

We have scaled teams for Fortune 500 companies and emerging tech innovators alike.

Our consultants and recruiters bring domain knowledge to the table. YDTS has staffed teams and leaders in critical sectors:
Technology & Semiconductors (e.g. firmware and AI research engineers);
Life Sciences & Pharma/CRO (e.g. biologists, regulatory experts);
Automotive & Aerospace (e.g. systems engineers, avionics talent);
Manufacturing & Industrial (e.g. process engineers, plant managers); and Retail/FMCG (e.g. supply chain, product leads). For each sector, we tailor our approach. In life sciences, for example, compliance and specialized skills are paramount, so we leverage niche networks and universities. In tech industries, speed and culture-fit are critical, so we focus on coding simulations and cultural alignment. By organizing content by industry, visitors quickly see that we “speak their language” and have relevant success stories.

We are seeking Computer Vision Analytics Engineers to support a Medical Video Analytics Project. This initiative integrates real-time medical video processing, AI-powered computer vision, and cloud-based analytics to enhance endoscopic procedures and MRI imaging.

The role involves working on edge-to-cloud video processing pipelines, developing vision algorithms for real-time object detection, and building machine learning models that generate automated insights and recommendations for medical professionals.

• Work with real-time video feeds from robotic-assisted surgery and endoscopic procedures.
• Support remote and in-hospital control workflows for AI-enhanced video analytics.
• Process and analyze high-speed medical video streams at gigabit-per-second (Gbps) throughput.
• Ensure secure transmission of MRI and endoscopic video feeds from edge devices to the cloud.
• Develop scalable Edge-to-Cloud AI solutions, ensuring low-latency inference for various medical applications.
• Implement AI models that analyze video content and classify frames as useful or non-useful.
• Develop AI-driven video segmentation and classification models to filter relevant vs. non-relevant frames.
• Develop object detection, segmentation, and tracking models to identify anatomical structures, surgical instruments, and procedural steps in real time.
• Implement video enhancement and denoising techniques to improve image clarity and feature extraction.
• Deploy deep learning-based models for medical video analytics using Tensor Flow, PyTorch, and OpenCV.
• Compare real-time footage with pre-trained medical video datasets to generate automated insights.
• Develop containerized AI…