Job description

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 within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer 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! 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 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. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. 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. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the  Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you   are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Requirements

Must-haves

Join us to drive positive, lasting change that moves missions and the government forward!
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
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)
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

Nice-to-haves

Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlpythonrustci/cdmachine learningawsazuregcp

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision