Senior Computer Vision Engineer

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Senior Computer Vision Engineer

Welcome to a new Data & AI decade that promises to redefine work and society. Accenture is leading the charge into this future with a bold strategy and a $3B investment aimed at helping clients optimize and transform their businesses through innovative data and AI solutions. We pride ourselves on our commitment to our workforce and industry-defining achievements.

With a team of over 45,000 professionals dedicated to Data & AI, our Data & AI organization combines Experienced Innovation, Strategic Investment, Exceptional Talent, and a Power Ecosystem.

About the Role

As an Artificial Intelligence and Machine Learning Computational Science professional, you will be instrumental in converting real-world problems into efficient and scalable AI solutions. You’ll develop and implement cutting-edge AI technologies that propel innovation and enhance performance. Collaborate with cross-functional teams, applying 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 AI systems leveraging 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 specific business needs, including edge devices and High Performance Computers (HPCs).
  • Develop system specifications, create test plans, and manage projects and issues within your scope of work.
  • Lead in the adoption and customization of new AI capabilities, focusing on combining computer vision with multi-modal models, fine-tuning for domain adaptation, and optimizing models for various deployment scenarios.
  • Deploy trained models into production, ensuring scalability, reliability, and optimal performance, while integrating with existing systems and applications.
  • Travel may be required, varying from 0% to 100% based on business needs and client requirements.

Requirements

  • Minimum of 6 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science.
  • At least 5 years of experience in machine learning or deep learning engineering, with demonstrated proficiency in computer vision algorithms and models.
  • Minimum 1 year of experience with GAN or diffusion-based models for synthetic data generation or fine-tuning for domain-specific use cases.
  • Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate’s Degree, must have minimum 6 years work experience.

Bonus Points

  • Hands-on experience with multi-modal models for video processing and fine-tuning.

Compensation

Compensation at Accenture varies based on factors like location, role, skill set, and experience. Below is the reasonable range of compensation for roles in specific locations:

  • California: $131,100 to $336,900
  • Colorado: $131,100 to $291,100
  • District of Columbia: $139,600 to $309,900
  • New York: $121,400 to $336,900
  • Maryland: $121,400 to $269,500
  • Washington: $139,600 to $309,900

Our Commitment to Diversity

We are dedicated to fostering an inclusive environment where every employee feels a sense of belonging. Diversity and inclusion are fundamental to our culture and core values, driving our innovation and creativity.

Accenture is an Equal Opportunity Employer and does not discriminate based on differences such as age, disability, ethnicity, gender, gender identity, religion, or sexual orientation. Employment decisions are made without regard to these attributes. We also provide employment opportunities to veterans.

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Requesting an Accommodation

Accenture offers equal employment opportunities for persons with disabilities or religious observances and provides reasonable accommodations as needed. For assistance, call us toll-free at 1 (877) 889-9009 or email us.

Additional Information

Applicants in the US must have work authorization that does not require sponsorship for a visa. Candidates employed by