Project Role : Responsible AI Engineer
Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved.
Must have skills : Computer Vision
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an AI / ML Engineer, you will develop applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working on deep learning, neural networks, chatbots, and natural language processing to create innovative solutions. Roles & Responsibilities: - Design and develop computer vision algorithms and models using deep learning techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). - Collaborate with cross-functional teams to integrate computer vision solutions into larger AI systems, including chatbots and natural language processing. - Optimize computer vision models for performance and efficiency, utilizing techniques such as pruning, quantization, and compression. - Stay up-to-date with the latest advancements in computer vision and AI, integrating innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Expected to be an SME, collaborate and manage the team to perform. Professional & Technical Skills: - Must To Have Skills: Strong proficiency in computer vision techniques and deep learning frameworks such as TensorFlow, PyTorch, and Keras. - Good To Have Skills: Experience with chatbots and natural language processing. - Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, reinforcement learning, and transfer learning. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Experience with data preprocessing and augmentation techniques, including image cropping, resizing, and normalization. - Strong programming skills in Python and C++. - Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - Familiarity with software development best practices, including version control, testing, and deployment. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. Additional Information: - A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 742,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

Equal Employment Opportunity Statement

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.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.