Job Description
About The Role
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 :Large Language Models (LLMs)
Good to have skills :NA
Minimum 3 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models into various projects, working with deep learning frameworks, developing neural network architectures, and implementing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align AI solutions with business needs and continuous refinement of models and applications are also key aspects of the role.
Roles & Responsibilities: - Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to enhance AI model performance and application efficiency.
- Assist in documenting technical designs and best practices for AI implementations.
- Support junior team members by sharing knowledge and providing guidance on AI technologies.
- Continuously monitor and optimize deployed AI systems to maintain high reliability and accuracy.
Professional & Technical Skills: Must To Have Skills:- Proficiency in Large Language Models (LLMs).
- Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning techniques, neural networks, and related frameworks.
- Ability to develop and maintain production-quality AI pipelines and workflows.
- Knowledge of chatbot development and image processing methodologies.Experience
a:Should have Good Communication Skills and leadership skills.
b:Should have Good analytical skills and presentation skills.
c:Minimum 15 yrs. of full time educational is required.
Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad
Keyskills:
ml engineer
image processing
chatbot
generative ai
ai solutions
neural networks
ai
artificial intelligence
cloud ai
cloud
deep learning
ai tools
ai technologies
chatbot development
ai services
ai model
language models
ai models
ml