Talent.com

Part-time Computer Jobs in Oakland, CA

Last updated: 5 days ago
Computer Vision Analytics Engineer

Computer Vision Analytics Engineer

Momento USASan Francisco, CA, United States
Quick Apply
Title : Analytics Engineer Medical Video / Image Analytics Client : Johnson & Johnson Location : SFO / Santa Clara, CA ...Show moreLast updated: 5 days ago
Computer programming Private Tutoring Jobs Oakland

Computer programming Private Tutoring Jobs Oakland

SuperprofOakland, California
$80.00 hourly
Superprof is the leading tutoring platform in the USA, connecting passionate individuals with eager learners.We operate in over 41 countries, making education accessible to everyone, everywhere.Sup...Show moreLast updated: 30+ days ago
Lecturer Pool - Department of Computer Science AY 24-25

Lecturer Pool - Department of Computer Science AY 24-25

The California State UniversityEast Bay
FACULTY EMPLOYMENT OPPORTUNITY.DEPARTMENT OF COMPUTER SCIENCE.Part-Time Lecturer Pool Position.POSITION AVAILABLE : One or more temporary, part-time lecturers for a pool from which instructors will ...Show moreLast updated: 30+ days ago
  • Promoted
tutor - Computer Programming

tutor - Computer Programming

BUKISan Francisco, CA, US
Full-time +1
Do you want to earn money by teaching? Would you like to have a flexible schedule without being in the office all the time? Are you creative and do you like to implement your own teaching strategy ...Show moreLast updated: 30+ days ago
PART TIME INSTRUCTOR POOL - COMPUTER SCIENCE

PART TIME INSTRUCTOR POOL - COMPUTER SCIENCE

Grossmont-Cuyamaca Community College DistrictSan Diego County
Part-time
Transforming lives through learning isn’t just the vision of the Grossmont-Cuyamaca Community College District.It happens every day with our 30,000 students who take the first step in their higher ...Show moreLast updated: 30+ days ago
VOCATIONAL INSTRUCTOR (COMPUTER AND RELATED TECHNOLOGIES) (CORRECTIONAL FACILITY)

VOCATIONAL INSTRUCTOR (COMPUTER AND RELATED TECHNOLOGIES) (CORRECTIONAL FACILITY)

California Correctional InstitutionKern County, US
Individuals who are eligible for a training and Development Assignment may also be considered for this position (s).Under the general direction of the Supervisor of Correctional Education, the Voca...Show moreLast updated: 30+ days ago
COMPUTER SCIENCE

COMPUTER SCIENCE

Santa Rosa Junior CollegeSonoma County, CA
Santa Rosa Junior College is currently accepting applications to establish a pool for part-time associate faculty assignments. Associate assignments are temporary, part-time or on-call.This job post...Show moreLast updated: 30+ days ago
Computer Vision Analytics Engineer

Computer Vision Analytics Engineer

Momento USASan Francisco, CA, United States
5 days ago
Job type
  • Quick Apply
Job description

Title : Analytics Engineer Medical Video / Image Analytics

Client : Johnson & Johnson

Location : SFO / Santa Clara, CA Onsite 3-4 days in a week in the office

Period : 12 Months ( Contract to Hire)

Job Description :

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.

Key Responsibilities :

  • 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 TensorFlow, PyTorch, and OpenCV.
  • Compare real-time footage with pre-trained medical video datasets to generate automated insights.
  • Develop containerized AI models (Docker, Kubernetes) to ensure scalable deployment in hospital environments.
  • Integrate AI-powered video analytics pipelines with cloud-based AI models (e.g., Azure AI)
  • Ensure seamless bi-directional communication between cloud AI models and edge computing systems.
  • Work closely with radiologists and healthcare professionals to fine-tune AI-driven video object detection and recommendations.
  • Integrate AI-powered video analytics solutions with existing hospital PACS, DICOM storage, and medical imaging infrastructure.
  • Ensure AI models comply with HIPAA, FDA, and medical device regulations for clinical deployment.

Qualifications :

  • Demonstrated experience in computer vision, AI model development, and optimization.
  • Experience working with medical videos, including MRI, endoscopy, ultrasound, echocardiograms, and OCR-based recognition.
  • Proficiency in multimodal AI, integrating various medical imaging sources.
  • Experience working closely with healthcare professionals and hospital workflows.
  • Experience integrating AI models with hospital IT systems, PACS, and DICOM-based workflows.
  • Proficiency in Python and experience with AI frameworks such as PyTorch, TensorFlow, OpenCV.
  • Expertise in computer vision techniques, including Object detection (YOLO, SSD, Faster R-CNN), Image segmentation (U-Net, Mask R-CNN), Image classification (ResNet, EfficientNet, ViTs), Feature extraction (SIFT, SURF, ORB)
  • Strong knowledge of machine learning techniques including Supervised, unsupervised, and self-supervised learning, CNNs, Vision Transformers (ViTs), GANs, attention-based networks, Random forests, SVMs, boosting algorithms
  • Proficiency in data preprocessing, augmentation, normalization, and handling large-scale image datasets.
  • Experience working with multi-GPU workloads for training and inference.
  • Experience deploying models using containerization technologies (Docker, Kubernetes).
  • Experience with high-performance computing (HPC) techniques for managing large-scale datasets.
  • Background in federated learning for medical AI to enhance privacy-preserving model training.
  • Prior experience in developing AI solutions for real-time clinical applications.
  • Strong understanding of regulatory constraints in AI-driven medical applications.
  • Ability to effectively communicate complex AI models to technical and non-technical stakeholders.

    • Best Regards,

    Ibraheem Mohammad

    Momento USA | Exceeding Customer Expectations

    Email : [email protected]

    440 Benigno Blvd, Unit#A 2nd Floor. Bellmawr, NJ 08031

    Interstate Business Park

    Direct : 856-452-8848 / Desk : 856-456-1805 X 1019 / Fax : (866) 605-1171

    Web : www.MomentoUSA.com

    Minority Certified by SWAM

    One of the fastest growing companies in NJ

    Awarded fastest growing Asian American business by Diversitybusiness.com

    E-verified Company

    Note : Momento USA is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.