Cleared Computer Vision Scientist

The work

• 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

Here's what you need

• 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)

Bonus points if you have

• 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)

Security Clearance

• Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

Pay and benefits

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below.

Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is:

$108,400—$203,400 USD

What We Believe

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included.

This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.