Job Description
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. The engineer integrates generative AI models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and continuous refinement of AI-driven solutions are key aspects of the daily workflow.
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 stakeholders to understand project requirements and translate them into technical solutions.
- Continuously research and evaluate emerging AI technologies to enhance existing systems.
- Assist junior team members by sharing knowledge and providing guidance on AI-related tasks.
- Ensure the quality and reliability of AI applications through rigorous testing and validation.
Professional Technical Skills:Must To Have Skills:- Proficiency in Large Language Models (LLMs).
- Experience with designing and deploying AI models in cloud or on-premises environments.
- Strong understanding of generative AI techniques and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI pipelines for production-grade solutions.
- Knowledge of chatbot development and image processing methodologies.
Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education 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
neural networks
ai
artificial intelligence
cloud ai
research
cloud
deep learning
ai tools
ai technologies
chatbot development
ai services
language models
ai models
ml