AI / ML Engineer

Posted:
9/20/2024, 6:01:23 AM

Location(s):
Noida, Uttar Pradesh, India ⋅ Uttar Pradesh, India

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
AI & Machine Learning

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Computer Vision
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : BE

As an AI/ML Engineer specializing in Computer Vision, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and natural language processing to create innovative solutions for our clients. 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. 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. - 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. Additional Information: - The ideal candidate will possess a strong educational background in computer science, electrical engineering, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

BE

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 750,000 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

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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