Project Role : AI / ML Engineer
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 : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : BE
Summary:
As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working with chatbots and image processing.
Roles & Responsibilities:
– Design and develop AI/ML applications and systems using Natural Language Processing (NLP) and other AI tools.
– Develop and deploy deep learning and neural network models for various applications.
– Work with chatbots and image processing to develop innovative solutions.
– Collaborate with cross-functional teams to ensure proper cloud or on-prem application pipeline with production ready quality.
– Apply GenAI models as part of the solution to deliver impactful data-driven solutions.
Professional & Technical Skills:
– Must To Have Skills: Strong experience in Natural Language Processing (NLP).
– Good To Have Skills: Experience with deep learning, neural networks, chatbots, and image processing.
– Experience in developing AI/ML applications and systems.
– Experience in deploying AI/ML models in production environments.
– Strong understanding of cloud computing and cloud AI services.
– Experience with programming languages such as Python, Java, or C++.
Additional Information:
– The candidate should have a minimum of 12 years of experience in Natural Language Processing (NLP).
– The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field.
BE
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.
Associate Director, AI Change and Adoption Optus & AI At Optus, our vision is to become Australia’s most loved everyday...
How to applyAI Engineer – Equities Technology We are building the next generation of Large Language Modeling applications driven by Portfolio Manager’s...
How to applyDescription and Requirements AI & Cloud Security Senior Specialist Lead Consultant, Information Security Hybrid We are a company driven by...
How to applyYour Growth You will work as a member of McKinsey’s global scientific AI team to transform the way our clients...
How to applyMajor Accountabilities: Develop and evaluate machine learning models for various AI applications, leveraging techniques such as supervised learning, unsupervised learning,...
How to applyMinimum qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 5...
How to apply