Accenture - Artificial Intelligence/Machine Learning Expert - Computer Vision - PhD

PHD-Computer vision

Project Role : AI / ML

Project Role Description :

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills : Computer Vision

Good to have skills : NA

Minimum 12 year(s) of experience is required :

Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs

Summary :

As an AI / ML Expert you will engage in the development of innovative applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring high-quality standards are met.

You will also explore the integration of generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing. Your role will require a proactive approach to problem-solving and a commitment to delivering impactful results in a dynamic environment.

Roles & Responsibilities :

- Expected to be an SME.

- Collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute on key decisions.

- Expected to provide solutions to problems that apply across multiple teams.

- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.

- Continuously evaluate and improve existing processes and methodologies to drive efficiency.

Professional & Technical Skills :

- Must To Have Skills : Proficiency in Computer Vision.

- Good To Have Skills : Experience with deep learning frameworks such as TensorFlow or PyTorch.

- Strong understanding of image processing techniques and algorithms.

- Familiarity with cloud platforms and services for deploying AI solutions.

- Experience in developing and optimizing neural network architectures.