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Freelance Computer Vision Deep Learning Engineer Jobs in Missouri

$80K - $110K/yr

Our partner is looking for a Senior CV Engineer based in Netherlands. This is an exciting ... Strong understanding of deep learning, generative AI, and computer vision best practices. * Ability ...

Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 5 ... GEPA) * Knowledge of and practical experience working on Deep Learning libraries (like Torch ...

Machine Learning Engineer Opportunity SynergisticIT understands the complex nature of the job ... Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking ...

Demonstrated expertise in deep learning for computer vision, including CNNs, vision transformers ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Demonstrated expertise in deep learning for computer vision, including CNNs, vision transformers ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

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Freelance Computer Vision Deep Learning Engineer information

What engineers make $500,000?

Senior computer vision deep learning engineers with extensive experience, advanced skills in neural networks, and proficiency in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries such as autonomous vehicles, AI research, or tech giants. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

Is computer vision a dead field?

Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. Freelance computer vision deep learning engineers are in demand for developing models using tools like TensorFlow and PyTorch, and staying current with advancements is essential for success.

Is ML full of coding?

Machine learning (ML) roles, including those for a freelance computer vision deep learning engineer, typically involve significant coding, especially in languages like Python and frameworks such as TensorFlow or PyTorch. Strong programming skills are essential for developing, training, and deploying models, although understanding algorithms and data preprocessing are also important components of the job.

Is ML a high paying job?

A career as a machine learning engineer, including roles in computer vision and deep learning, is generally considered high paying due to the specialized skills and demand for expertise in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but these roles often offer competitive compensation compared to other tech positions.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Missouri? The most popular types of Computer Vision Deep Learning Engineer jobs in Missouri are:
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What job categories do people searching Freelance Computer Vision Deep Learning Engineer jobs in Missouri look for? The top searched job categories for Freelance Computer Vision Deep Learning Engineer jobs in Missouri are:
What cities in Missouri are hiring for Freelance Computer Vision Deep Learning Engineer jobs? Cities in Missouri with the most Freelance Computer Vision Deep Learning Engineer job openings:
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

SecureVision

Saint Louis, MO

Other

Posted 12 days ago


Job description

HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT
Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Job Description
Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
WHAT YOU'LL NEED TO SUCCEED:
• Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
• Experience: 5+ years Technical skills:
• Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
• Demonstrated professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.
• Demonstrated professional or academic experience using Python to query and retrieve imagery from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
• Demonstrated professional or academic experience with version control systems such as Gitlab.
• Demonstrated experience leveraging CUDA for GPU accelerated computing. Skills and abilities desired:
• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
• Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated experience with verification and validation test benches.
• Demonstrated experience with Explainable AI (XAI) techniques.
• Demonstrated experience with Open Neural Net Exchange (ONNX).