Computer Vision Engineer

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

Position Responsibilities:

• Design and develop artificial intelligence (AI) systems leveraging a combination of signal processing, computer vision (including large vision models) and multi-modal models.
• Design and build scalable data pipelines to support model training and production with DevOps & MLOps
• Customize and apply Deep Learning and Gen AI models for use cases based on the business needs, data availability, system and infrastructure requirements including edge devices and High Performance Computers (HPCs).
• Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.
• Lead in adoption and customization of new AI capabilities especially in areas such as multi-modal models including combining traditional computer vision capabilities with multi-modal models, fine tune multi-modal models for domain adaptation and optimize models for different deployment scenarios.
• Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need:

• Minimum of 5 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in computer vision such as training of CNN based models, GAN or diffusion based models for data generation, optimizing trained models for deployment and signal processing and traditional computer vision algorithms such as those in OpenCV
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Bonus points if you have:

• Hands-on involvement with multi-modal models especially in processing of videos and fine tuning of these models

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $73,000 to $220,400

Colorado $73,000 to $190,400

District of Columbia $77,700 to $202,700

New York $67,600 to $220,400

Maryland $67,600 to $176,300

Washington $77,700 to $202,700
• LI-NA
• LI-MP

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