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Hourly Remote Machine Learning Engineer Jobs in Colorado

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247096 Location: Aurora,CO,US Share job via: Share Data Engineer ... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247097 Location: Aurora,CO,US Share job via: Share Data Engineer ... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247099 Location: Aurora,CO,US Share job via: Share Data Engineer, Mid ... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ...

Wsgr

Innovations and AI Solutions Engineer

Boulder, CO · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Developing and applying machine learning models and integrating AI models using Python, R, SQL, and ...

DataAnnotation

Software Engineer - AI Trainer

Aurora, CO · On-site +1

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

DataAnnotation

Software Engineer - AI Trainer

Lakewood, CO · On-site +1

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

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Hourly Remote Machine Learning Engineer information

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Colorado?

For Hourly Remote Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Machine Learning Engineer jobs in Colorado look for?

The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Colorado are:

What cities in Colorado are hiring for Hourly Remote Machine Learning Engineer jobs?

Cities in Colorado with the most Hourly Remote Machine Learning Engineer job openings:

Hourly Remote Machine Learning Engineer jobs near you

Staff Computer Vision AI/ML Engineer

Aurora, CO • Remote

Vets Hired
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Vets Hiredexternal

Full-time

Posted 8 days ago

Key responsibilities

  • Lead the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications.

  • Analyze and preprocess large remote sensing datasets, and train, optimize, and deploy deep-learning computer vision models.

  • Guide and mentor junior engineers, researchers, and software developers, and collaborate with program management to define project scope, schedules, and milestones.

Job description

Job Summary

The Staff Computer Vision AI/ML Engineer leads the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications. The role focuses on Automatic Target Recognition (ATR), multimodal data fusion, deep learning, image processing, and cloud-based deployment. This position also provides technical leadership by guiding researchers and software developers and helping mature AI/ML capabilities from prototype through operational deployment.

Key Responsibilities
  • Lead a team of developers and researchers implementing AI/ML algorithms for computer vision and remote sensing.
  • Analyze and preprocess large remote sensing datasets.
  • Research supervised and unsupervised Automatic Target Recognition (ATR) solutions.
  • Research multimodal data fusion for ATR across diverse data-collection scenarios.
  • Train, optimize, and deploy deep-learning computer vision models.
  • Apply AI/ML techniques to solve computer vision problems across multiple domains.
  • Evaluate emerging research and publications related to AI/ML and computer vision.
  • Translate complex technical concepts into understandable information for government customers.
  • Apply AI/ML research to defense and commercial applications.
  • Guide and mentor junior engineers, researchers, and software developers.
  • Collaborate with program management to define project scope, schedules, and milestones.
  • Select appropriate AI/ML approaches and iterate or pivot strategies to improve performance.
  • Develop technical documentation, code documentation, capability descriptions, and user guides.
  • Support the development and growth of AI/ML technical capabilities and strategy.
Required Qualifications
  • Active TS/SCI security clearance.
  • Bachelor's degree in Data Science, AI/ML, Computer Science, or a related field.
  • 10+ years of professional experience, preferably in software development or data science.
  • 5+ years of experience developing and training AI/ML models.
  • Experience leading interdisciplinary teams of researchers and software developers.
  • Experience working with program managers to define project scope, schedules, and milestones.
  • Experience selecting, evaluating, and improving AI/ML approaches.
  • Strong Python programming experience.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, or OpenCV.
  • Experience developing convolutional or transformer-based computer vision models.
  • Strong technical communication and documentation skills.
  • Ability to prepare and present technical reports to engineering teams and customers.
Desired Qualifications
  • MS or PhD in Machine Learning, Computer Science, Computer Vision, Mathematics, or a related field.
  • Experience with Self-Supervised Learning (SSL), DINO, knowledge distillation, or BYOL.
  • Experience with image segmentation, super resolution, image denoising, image restoration, and Multi-INT fusion.
  • Experience with Graph Convolutional Networks (GCNs).
  • Experience with SAR, EO, or OPIR image-processing chains.
  • Experience with overhead imagery datasets such as xView, SpaceNet, MSTAR, HRSID, DOTA, and similar datasets.
  • Familiarity with AWS services such as EC2, S3, and Lambda.
  • Experience with code, data, and model version-control processes.
  • Experience with Linux.
  • Experience with tracking, fusion, and pattern-of-life algorithms.
  • Experience with application deployment, virtualization, and containerization.
  • Experience supporting proposal development and writing.
  • Active TS/SCI clearance with Polygraph.