Cleared Computer Vision Scientist

Accenture • Washington, DC

73d • $108,400 - $203,400

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward!

Requirements

• Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Proficiency with programming languages such as Python, C/C++ or Rust
• Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
• Strong analytical and problem-solving skills
• Ability to work collaboratively in a team environment and take direction from senior team members
• Hands-on experience with developing computer vision models at scale from inception to business impact
• Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• U.S. Citizenship (No Dual citizenship)

Nice To Haves

• Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
• Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
• Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
• Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
• Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar)

Responsibilities

• Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc.
• Deploy, maintain, and optimize ML models and data processes in a production environment
• Develop custom Computer Vision (CV) algorithms that translate into mission value
• Create tools to provide feedback from production ML models and data processes
• Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow)
• Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
• Stay up to date with the latest research and advancements in the field of computer vision and deep learning
• Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
• Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
• Assist in the integration of computer vision algorithms into production systems and applications
• Document code, methodologies, and experimental results

Benefits

• Competitive salary range of $108,400-$203,400 USD based on location and experience
• Comprehensive benefits package including health insurance, retirement plans, and professional development opportunities
• Commitment to diversity, equity, and inclusion in the workplace
• Opportunities for hands-on experience, certifications, and industry training

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 5,001-10,000 employees